Overview

Dataset statistics

Number of variables373
Number of observations107
Missing cells1480
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory311.9 KiB
Average record size in memory2.9 KiB

Variable types

Numeric371
Categorical2

Warnings

Libellé index \ CGD has a high cardinality: 104 distinct values High cardinality
CGD BELLEY has 4 (3.7%) missing values Missing
CGD BOURG EN BRESSE has 4 (3.7%) missing values Missing
CGD GEX has 4 (3.7%) missing values Missing
CGD TREVOUX has 4 (3.7%) missing values Missing
CGD CHATEAU THIERRY NOGENTEL has 4 (3.7%) missing values Missing
CGD LAON has 4 (3.7%) missing values Missing
CGD SOISSONS has 4 (3.7%) missing values Missing
CGD ST QUENTIN has 4 (3.7%) missing values Missing
CGD VERVINS has 4 (3.7%) missing values Missing
CGD MONTLUCON has 4 (3.7%) missing values Missing
CGD MOULINS has 4 (3.7%) missing values Missing
CGD VICHY has 4 (3.7%) missing values Missing
CGD BARCELONNETTE has 4 (3.7%) missing values Missing
CGD CASTELLANE has 4 (3.7%) missing values Missing
CGD DIGNE LES BAINS has 4 (3.7%) missing values Missing
CGD FORCALQUIER has 4 (3.7%) missing values Missing
CGD BRIANCON has 4 (3.7%) missing values Missing
CGD GAP has 4 (3.7%) missing values Missing
CGD CANNES has 4 (3.7%) missing values Missing
CGD GRASSE has 4 (3.7%) missing values Missing
CGD MENTON has 4 (3.7%) missing values Missing
CGD NICE has 4 (3.7%) missing values Missing
CGD PUGET THENIERS has 4 (3.7%) missing values Missing
CGD LARGENTIERE has 4 (3.7%) missing values Missing
CGD LE TEIL has 4 (3.7%) missing values Missing
CGD TOURNON SUR RHONE has 4 (3.7%) missing values Missing
CGD RETHEL has 4 (3.7%) missing values Missing
CGD REVIN has 4 (3.7%) missing values Missing
CGD SEDAN has 4 (3.7%) missing values Missing
CGD VOUZIERS has 4 (3.7%) missing values Missing
CGD FOIX has 4 (3.7%) missing values Missing
CGD PAMIERS has 4 (3.7%) missing values Missing
CGD ST GIRONS has 4 (3.7%) missing values Missing
CGD BAR SUR AUBE has 4 (3.7%) missing values Missing
CGD NOGENT SUR SEINE has 4 (3.7%) missing values Missing
CGD ROSIERES PRES TROYES has 4 (3.7%) missing values Missing
CGD CARCASSONNE has 4 (3.7%) missing values Missing
CGD LIMOUX has 4 (3.7%) missing values Missing
CGD NARBONNE has 4 (3.7%) missing values Missing
CGD MILLAU has 4 (3.7%) missing values Missing
CGD RODEZ has 4 (3.7%) missing values Missing
CGD VILLEFRANCHE DE ROUERGUE has 4 (3.7%) missing values Missing
CGD AIX EN PROVENCE has 4 (3.7%) missing values Missing
CGD ARLES has 4 (3.7%) missing values Missing
CGD AUBAGNE has 4 (3.7%) missing values Missing
CGD ISTRES has 4 (3.7%) missing values Missing
CGD SALON DE PROVENCE has 4 (3.7%) missing values Missing
CGD BAYEUX has 4 (3.7%) missing values Missing
CGD CAEN has 4 (3.7%) missing values Missing
CGD DEAUVILLE has 4 (3.7%) missing values Missing
CGD FALAISE has 4 (3.7%) missing values Missing
CGD LISIEUX has 4 (3.7%) missing values Missing
CGD VIRE NORMANDIE has 4 (3.7%) missing values Missing
CGD AURILLAC has 4 (3.7%) missing values Missing
CGD MAURIAC has 4 (3.7%) missing values Missing
CGD ST FLOUR has 4 (3.7%) missing values Missing
CGD ANGOULEME has 4 (3.7%) missing values Missing
CGD COGNAC has 4 (3.7%) missing values Missing
CGD CONFOLENS has 4 (3.7%) missing values Missing
CGD JONZAC has 4 (3.7%) missing values Missing
CGD LA ROCHELLE has 4 (3.7%) missing values Missing
CGD ROCHEFORT has 4 (3.7%) missing values Missing
CGD SAINTES has 4 (3.7%) missing values Missing
CGD ST JEAN D ANGELY has 4 (3.7%) missing values Missing
CGD BOURGES has 4 (3.7%) missing values Missing
CGD ST AMAND MONTROND has 4 (3.7%) missing values Missing
CGD VIERZON has 4 (3.7%) missing values Missing
CGD BRIVE LA GAILLARDE has 4 (3.7%) missing values Missing
CGD USSEL has 4 (3.7%) missing values Missing
CGD BEAUNE has 4 (3.7%) missing values Missing
CGD DIJON has 4 (3.7%) missing values Missing
CGD IS SUR TILLE has 4 (3.7%) missing values Missing
CGD MONTBARD has 4 (3.7%) missing values Missing
CGD DINAN has 4 (3.7%) missing values Missing
CGD GUINGAMP has 4 (3.7%) missing values Missing
CGD LANNION has 4 (3.7%) missing values Missing
CGD ST BRIEUC has 4 (3.7%) missing values Missing
CGD AUBUSSON has 4 (3.7%) missing values Missing
CGD GUERET has 4 (3.7%) missing values Missing
CGD BERGERAC has 4 (3.7%) missing values Missing
CGD NONTRON has 4 (3.7%) missing values Missing
CGD PERIGUEUX has 4 (3.7%) missing values Missing
CGD SARLAT LA CANEDA has 4 (3.7%) missing values Missing
CGD BESANCON has 4 (3.7%) missing values Missing
CGD MONTBELIARD has 4 (3.7%) missing values Missing
CGD PONTARLIER has 4 (3.7%) missing values Missing
CGD CREST has 4 (3.7%) missing values Missing
CGD NYONS has 4 (3.7%) missing values Missing
CGD PIERRELATTE has 4 (3.7%) missing values Missing
CGD ROMANS SUR ISERE has 4 (3.7%) missing values Missing
CGD BERNAY has 4 (3.7%) missing values Missing
CGD EVREUX has 4 (3.7%) missing values Missing
CGD LES ANDELYS has 4 (3.7%) missing values Missing
CGD LOUVIERS has 4 (3.7%) missing values Missing
CGD PONT AUDEMER has 4 (3.7%) missing values Missing
CGD CHATEAUDUN has 4 (3.7%) missing values Missing
CGD DREUX has 4 (3.7%) missing values Missing
CGD LUCE has 4 (3.7%) missing values Missing
CGD NOGENT LE ROTROU has 4 (3.7%) missing values Missing
CGD BREST has 4 (3.7%) missing values Missing
CGD CHATEAULIN has 4 (3.7%) missing values Missing
CGD LANDERNEAU has 4 (3.7%) missing values Missing
CGD PLOURIN LES MORLAIX has 4 (3.7%) missing values Missing
CGD QUIMPER has 4 (3.7%) missing values Missing
CGD QUIMPERLE has 4 (3.7%) missing values Missing
CGD AJACCIO has 4 (3.7%) missing values Missing
CGD PORTO VECCHIO has 4 (3.7%) missing values Missing
CGD SARTENE has 4 (3.7%) missing values Missing
CGD BASTIA has 4 (3.7%) missing values Missing
CGD CALVI has 4 (3.7%) missing values Missing
CGD CORTE has 4 (3.7%) missing values Missing
CGD GHISONACCIA has 4 (3.7%) missing values Missing
CGD ALES has 4 (3.7%) missing values Missing
CGD BAGNOLS SUR CEZE has 4 (3.7%) missing values Missing
CGD LE VIGAN has 4 (3.7%) missing values Missing
CGD NIMES has 4 (3.7%) missing values Missing
CGD VAUVERT has 4 (3.7%) missing values Missing
CGD MURET has 4 (3.7%) missing values Missing
CGD ST GAUDENS has 4 (3.7%) missing values Missing
CGD TOULOUSE MIRAIL has 4 (3.7%) missing values Missing
CGD TOULOUSE ST MICHEL has 4 (3.7%) missing values Missing
CGD VILLEFRANCHE DE LAURAGAIS has 4 (3.7%) missing values Missing
CGD AUCH has 4 (3.7%) missing values Missing
CGD CONDOM has 4 (3.7%) missing values Missing
CGD ARCACHON has 4 (3.7%) missing values Missing
CGD BLAYE has 4 (3.7%) missing values Missing
CGD BOULIAC has 4 (3.7%) missing values Missing
CGD LANGON TOULENNE has 4 (3.7%) missing values Missing
CGD LESPARRE MEDOC has 4 (3.7%) missing values Missing
CGD LIBOURNE has 4 (3.7%) missing values Missing
CGD MERIGNAC has 4 (3.7%) missing values Missing
CGD BEZIERS has 4 (3.7%) missing values Missing
CGD CASTELNAU LE LEZ has 4 (3.7%) missing values Missing
CGD LODEVE has 4 (3.7%) missing values Missing
CGD LUNEL has 4 (3.7%) missing values Missing
CGD PEZENAS has 4 (3.7%) missing values Missing
CGD MONTFORT SUR MEU has 4 (3.7%) missing values Missing
CGD REDON has 4 (3.7%) missing values Missing
CGD RENNES has 4 (3.7%) missing values Missing
CGD ST MALO has 4 (3.7%) missing values Missing
CGD VITRE has 4 (3.7%) missing values Missing
CGD ISSOUDUN has 4 (3.7%) missing values Missing
CGD LA CHATRE has 4 (3.7%) missing values Missing
CGD LE BLANC has 4 (3.7%) missing values Missing
CGD AMBOISE has 4 (3.7%) missing values Missing
CGD CHINON has 4 (3.7%) missing values Missing
CGD LOCHES has 4 (3.7%) missing values Missing
CGD TOURS has 4 (3.7%) missing values Missing
CGD BOURGOIN JALLIEU has 4 (3.7%) missing values Missing
CGD GRENOBLE has 4 (3.7%) missing values Missing
CGD LA MURE has 4 (3.7%) missing values Missing
CGD LA TOUR DU PIN has 4 (3.7%) missing values Missing
CGD MEYLAN has 4 (3.7%) missing values Missing
CGD ST MARCELLIN has 4 (3.7%) missing values Missing
CGD VIENNE has 4 (3.7%) missing values Missing
CGD DOLE has 4 (3.7%) missing values Missing
CGD LONS LE SAUNIER has 4 (3.7%) missing values Missing
CGD ST CLAUDE has 4 (3.7%) missing values Missing
CGD DAX has 4 (3.7%) missing values Missing
CGD MONT DE MARSAN has 4 (3.7%) missing values Missing
CGD PARENTIS EN BORN has 4 (3.7%) missing values Missing
CGD BLOIS has 4 (3.7%) missing values Missing
CGD ROMORANTIN LANTHENAY has 4 (3.7%) missing values Missing
CGD VENDOME has 4 (3.7%) missing values Missing
CGD MONTBRISON has 4 (3.7%) missing values Missing
CGD ROANNE has 4 (3.7%) missing values Missing
CGD ST ETIENNE has 4 (3.7%) missing values Missing
CGD BRIOUDE has 4 (3.7%) missing values Missing
CGD LE PUY EN VELAY has 4 (3.7%) missing values Missing
CGD YSSINGEAUX has 4 (3.7%) missing values Missing
CGD ANCENIS ST GEREON has 4 (3.7%) missing values Missing
CGD CHATEAUBRIANT has 4 (3.7%) missing values Missing
CGD NANTES has 4 (3.7%) missing values Missing
CGD PORNIC has 4 (3.7%) missing values Missing
CGD REZE has 4 (3.7%) missing values Missing
CGD ST NAZAIRE has 4 (3.7%) missing values Missing
CGD GIEN has 4 (3.7%) missing values Missing
CGD MONTARGIS has 4 (3.7%) missing values Missing
CGD ORLEANS has 4 (3.7%) missing values Missing
CGD PITHIVIERS has 4 (3.7%) missing values Missing
CGD CAHORS has 4 (3.7%) missing values Missing
CGD FIGEAC has 4 (3.7%) missing values Missing
CGD GOURDON has 4 (3.7%) missing values Missing
CGD AGEN has 4 (3.7%) missing values Missing
CGD MARMANDE has 4 (3.7%) missing values Missing
CGD VILLENEUVE SUR LOT has 4 (3.7%) missing values Missing
CGD FLORAC TROIS RIVIERES has 4 (3.7%) missing values Missing
CGD MENDE has 4 (3.7%) missing values Missing
CGD ANGERS has 4 (3.7%) missing values Missing
CGD CHOLET has 4 (3.7%) missing values Missing
CGD SAUMUR has 4 (3.7%) missing values Missing
CGD SEGRE EN ANJOU BLEU has 4 (3.7%) missing values Missing
CGD AVRANCHES has 4 (3.7%) missing values Missing
CGD CHERBOURG EN COTENTIN has 4 (3.7%) missing values Missing
CGD COUTANCES has 4 (3.7%) missing values Missing
CGD ST LO has 4 (3.7%) missing values Missing
CGD CHALONS EN CHAMPAGNE has 4 (3.7%) missing values Missing
CGD EPERNAY has 4 (3.7%) missing values Missing
CGD REIMS has 4 (3.7%) missing values Missing
CGD VITRY LE FRANCOIS has 4 (3.7%) missing values Missing
CGD CHAUMONT has 4 (3.7%) missing values Missing
CGD LANGRES has 4 (3.7%) missing values Missing
CGD ST DIZIER has 4 (3.7%) missing values Missing
CGD CHATEAU GONTIER SUR MAYENNE has 4 (3.7%) missing values Missing
CGD MAYENNE has 4 (3.7%) missing values Missing
CGD LUNEVILLE has 4 (3.7%) missing values Missing
CGD NANCY has 4 (3.7%) missing values Missing
CGD TOUL has 4 (3.7%) missing values Missing
CGD VAL DE BRIEY has 4 (3.7%) missing values Missing
CGD COMMERCY has 4 (3.7%) missing values Missing
CGD VERDUN has 4 (3.7%) missing values Missing
CGD LORIENT has 4 (3.7%) missing values Missing
CGD PLOERMEL has 4 (3.7%) missing values Missing
CGD PONTIVY has 4 (3.7%) missing values Missing
CGD VANNES has 4 (3.7%) missing values Missing
CGD BOULAY MOSELLE has 4 (3.7%) missing values Missing
CGD FORBACH has 4 (3.7%) missing values Missing
CGD METZ has 4 (3.7%) missing values Missing
CGD SARREBOURG has 4 (3.7%) missing values Missing
CGD SARREGUEMINES has 4 (3.7%) missing values Missing
CGD THIONVILLE has 4 (3.7%) missing values Missing
CGD CHATEAU CHINON VILLE has 4 (3.7%) missing values Missing
CGD COSNE COURS SUR LOIRE has 4 (3.7%) missing values Missing
CGD NEVERS has 4 (3.7%) missing values Missing
CGD AVESNES SUR HELPE has 4 (3.7%) missing values Missing
CGD CAMBRAI has 4 (3.7%) missing values Missing
CGD DOUAI has 4 (3.7%) missing values Missing
CGD DUNKERQUE HOYMILLE has 4 (3.7%) missing values Missing
CGD HAZEBROUCK has 4 (3.7%) missing values Missing
CGD LILLE has 4 (3.7%) missing values Missing
CGD VALENCIENNES has 4 (3.7%) missing values Missing
CGD BEAUVAIS has 4 (3.7%) missing values Missing
CGD CHANTILLY has 4 (3.7%) missing values Missing
CGD CLERMONT has 4 (3.7%) missing values Missing
CGD COMPIEGNE has 4 (3.7%) missing values Missing
CGD MERU has 4 (3.7%) missing values Missing
CGD SENLIS has 4 (3.7%) missing values Missing
CGD ALENCON ARGENTAN has 4 (3.7%) missing values Missing
CGD DOMFRONT EN POIRAIE has 4 (3.7%) missing values Missing
CGD MORTAGNE AU PERCHE has 4 (3.7%) missing values Missing
CGD ARRAS has 4 (3.7%) missing values Missing
CGD BETHUNE has 4 (3.7%) missing values Missing
CGD CALAIS has 4 (3.7%) missing values Missing
CGD ECUIRES has 4 (3.7%) missing values Missing
CGD ST OMER has 4 (3.7%) missing values Missing
CGD ST POL SUR TERNOISE has 4 (3.7%) missing values Missing
CGD AMBERT has 4 (3.7%) missing values Missing
CGD CLERMONT FERRAND has 4 (3.7%) missing values Missing
CGD ISSOIRE has 4 (3.7%) missing values Missing
CGD RIOM has 4 (3.7%) missing values Missing
CGD THIERS has 4 (3.7%) missing values Missing
CGD BAYONNE has 4 (3.7%) missing values Missing
CGD OLORON STE MARIE has 4 (3.7%) missing values Missing
CGD ORTHEZ has 4 (3.7%) missing values Missing
CGD PAU has 4 (3.7%) missing values Missing
CGD ARGELES GAZOST has 4 (3.7%) missing values Missing
CGD BAGNERES DE BIGORRE has 4 (3.7%) missing values Missing
CGD TARBES has 4 (3.7%) missing values Missing
CGD CERET has 4 (3.7%) missing values Missing
CGD PERPIGNAN has 4 (3.7%) missing values Missing
CGD PRADES has 4 (3.7%) missing values Missing
CGD RIVESALTES has 4 (3.7%) missing values Missing
CGD HAGUENAU has 4 (3.7%) missing values Missing
CGD MOLSHEIM has 4 (3.7%) missing values Missing
CGD SAVERNE has 4 (3.7%) missing values Missing
CGD SELESTAT has 4 (3.7%) missing values Missing
CGD STRASBOURG has 4 (3.7%) missing values Missing
CGD WISSEMBOURG has 4 (3.7%) missing values Missing
CGD ALTKIRCH has 4 (3.7%) missing values Missing
CGD COLMAR has 4 (3.7%) missing values Missing
CGD MULHOUSE has 4 (3.7%) missing values Missing
CGD SOULTZ GUEBWILLER has 4 (3.7%) missing values Missing
CGD BRON has 4 (3.7%) missing values Missing
CGD GIVORS has 4 (3.7%) missing values Missing
CGD L ARBRESLE has 4 (3.7%) missing values Missing
CGD LYON has 4 (3.7%) missing values Missing
CGD VILLEFRANCHE SUR SAONE has 4 (3.7%) missing values Missing
CGD LURE has 4 (3.7%) missing values Missing
CGD VESOUL has 4 (3.7%) missing values Missing
CGD AUTUN has 4 (3.7%) missing values Missing
CGD CHALON SUR SAONE has 4 (3.7%) missing values Missing
CGD CHAROLLES has 4 (3.7%) missing values Missing
CGD LOUHANS has 4 (3.7%) missing values Missing
CGD MACON has 4 (3.7%) missing values Missing
CGD LA FLECHE has 4 (3.7%) missing values Missing
CGD LE MANS has 4 (3.7%) missing values Missing
CGD MAMERS has 4 (3.7%) missing values Missing
CGD ALBERTVILLE has 4 (3.7%) missing values Missing
CGD CHAMBERY has 4 (3.7%) missing values Missing
CGD ST JEAN DE MAURIENNE has 4 (3.7%) missing values Missing
CGD ANNECY has 4 (3.7%) missing values Missing
CGD BONNEVILLE has 4 (3.7%) missing values Missing
CGD CHAMONIX MONT BLANC has 4 (3.7%) missing values Missing
CGD ST JULIEN EN GENEVOIS has 4 (3.7%) missing values Missing
CGD THONON LES BAINS has 4 (3.7%) missing values Missing
CGD DIEPPE has 4 (3.7%) missing values Missing
CGD FECAMP has 4 (3.7%) missing values Missing
CGD LE HAVRE has 4 (3.7%) missing values Missing
CGD NEUFCHATEL EN BRAY has 4 (3.7%) missing values Missing
CGD ROUEN has 4 (3.7%) missing values Missing
CGD YVETOT has 4 (3.7%) missing values Missing
CGD COULOMMIERS has 4 (3.7%) missing values Missing
CGD FONTAINEBLEAU has 4 (3.7%) missing values Missing
CGD MEAUX has 4 (3.7%) missing values Missing
CGD MELUN has 4 (3.7%) missing values Missing
CGD PROVINS has 4 (3.7%) missing values Missing
CGD MANTES LA JOLIE has 4 (3.7%) missing values Missing
CGD RAMBOUILLET has 4 (3.7%) missing values Missing
CGD ST GERMAIN EN LAYE has 4 (3.7%) missing values Missing
CGD BRESSUIRE has 4 (3.7%) missing values Missing
CGD NIORT has 4 (3.7%) missing values Missing
CGD PARTHENAY has 4 (3.7%) missing values Missing
CGD ABBEVILLE has 4 (3.7%) missing values Missing
CGD AMIENS has 4 (3.7%) missing values Missing
CGD MONTDIDIER has 4 (3.7%) missing values Missing
CGD PERONNE has 4 (3.7%) missing values Missing
CGD ALBI has 4 (3.7%) missing values Missing
CGD CASTRES has 4 (3.7%) missing values Missing
CGD GAILLAC has 4 (3.7%) missing values Missing
CGD CASTELSARRASIN has 4 (3.7%) missing values Missing
CGD MONTAUBAN has 4 (3.7%) missing values Missing
CGD BRIGNOLES has 4 (3.7%) missing values Missing
CGD DRAGUIGNAN has 4 (3.7%) missing values Missing
CGD GASSIN ST TROPEZ has 4 (3.7%) missing values Missing
CGD HYERES has 4 (3.7%) missing values Missing
CGD LA VALETTE DU VAR has 4 (3.7%) missing values Missing
CGD AVIGNON has 4 (3.7%) missing values Missing
CGD CARPENTRAS has 4 (3.7%) missing values Missing
CGD ORANGE has 4 (3.7%) missing values Missing
CGD PERTUIS has 4 (3.7%) missing values Missing
CGD FONTENAY LE COMTE has 4 (3.7%) missing values Missing
CGD LA ROCHE SUR YON has 4 (3.7%) missing values Missing
CGD LES SABLES D OLONNE has 4 (3.7%) missing values Missing
CGD CHATELLERAULT has 4 (3.7%) missing values Missing
CGD MONTMORILLON has 4 (3.7%) missing values Missing
CGD POITIERS has 4 (3.7%) missing values Missing
CGD BELLAC has 4 (3.7%) missing values Missing
CGD LIMOGES has 4 (3.7%) missing values Missing
CGD ST JUNIEN has 4 (3.7%) missing values Missing
CGD NEUFCHATEAU has 4 (3.7%) missing values Missing
CGD REMIREMONT has 4 (3.7%) missing values Missing
CGD ST DIE DES VOSGES has 4 (3.7%) missing values Missing
CGD AUXERRE has 4 (3.7%) missing values Missing
CGD AVALLON has 4 (3.7%) missing values Missing
CGD SENS has 4 (3.7%) missing values Missing
CGD ETAMPES has 4 (3.7%) missing values Missing
CGD EVRY COURCOURONNES has 4 (3.7%) missing values Missing
CGD PALAISEAU has 4 (3.7%) missing values Missing
CGD L ISLE ADAM has 4 (3.7%) missing values Missing
CGD MONTMORENCY has 4 (3.7%) missing values Missing
CGD PONTOISE has 4 (3.7%) missing values Missing
CGD LE MOULE has 4 (3.7%) missing values Missing
CGD POINTE A PITRE has 4 (3.7%) missing values Missing
CGD ST CLAUDE (971) has 4 (3.7%) missing values Missing
CGD FORT DE FRANCE has 4 (3.7%) missing values Missing
CGD LA TRINITE has 4 (3.7%) missing values Missing
CGD LE MARIN has 4 (3.7%) missing values Missing
CGD KOUROU has 4 (3.7%) missing values Missing
CGD MATOURY has 4 (3.7%) missing values Missing
CGD ST LAURENT DU MARONI has 4 (3.7%) missing values Missing
CGD ST BENOIT has 4 (3.7%) missing values Missing
CGD ST PAUL has 4 (3.7%) missing values Missing
CGD ST PIERRE has 4 (3.7%) missing values Missing
CGD ST MARTIN ST BARTHELEMY has 4 (3.7%) missing values Missing
CGD LES ARCHIPELS PAPEETE has 4 (3.7%) missing values Missing
CGD LES ILES DU VENT FAAA has 4 (3.7%) missing values Missing
CGD KONE has 4 (3.7%) missing values Missing
CGD LA FOA has 4 (3.7%) missing values Missing
CGD NOUMEA has 4 (3.7%) missing values Missing
CGD POINDIMIE has 4 (3.7%) missing values Missing
Code index has unique values Unique
CGD BELLEY has 31 (29.0%) zeros Zeros
CGD BOURG EN BRESSE has 29 (27.1%) zeros Zeros
CGD GEX has 26 (24.3%) zeros Zeros
CGD TREVOUX has 19 (17.8%) zeros Zeros
CGD CHATEAU THIERRY NOGENTEL has 37 (34.6%) zeros Zeros
CGD LAON has 28 (26.2%) zeros Zeros
CGD SOISSONS has 35 (32.7%) zeros Zeros
CGD ST QUENTIN has 39 (36.4%) zeros Zeros
CGD VERVINS has 36 (33.6%) zeros Zeros
CGD MONTLUCON has 37 (34.6%) zeros Zeros
CGD MOULINS has 38 (35.5%) zeros Zeros
CGD VICHY has 35 (32.7%) zeros Zeros
CGD BARCELONNETTE has 52 (48.6%) zeros Zeros
CGD CASTELLANE has 48 (44.9%) zeros Zeros
CGD DIGNE LES BAINS has 34 (31.8%) zeros Zeros
CGD FORCALQUIER has 35 (32.7%) zeros Zeros
CGD BRIANCON has 42 (39.3%) zeros Zeros
CGD GAP has 33 (30.8%) zeros Zeros
CGD CANNES has 20 (18.7%) zeros Zeros
CGD GRASSE has 28 (26.2%) zeros Zeros
CGD MENTON has 31 (29.0%) zeros Zeros
CGD NICE has 28 (26.2%) zeros Zeros
CGD PUGET THENIERS has 37 (34.6%) zeros Zeros
CGD LARGENTIERE has 36 (33.6%) zeros Zeros
CGD LE TEIL has 29 (27.1%) zeros Zeros
CGD TOURNON SUR RHONE has 27 (25.2%) zeros Zeros
CGD RETHEL has 39 (36.4%) zeros Zeros
CGD REVIN has 33 (30.8%) zeros Zeros
CGD SEDAN has 35 (32.7%) zeros Zeros
CGD VOUZIERS has 51 (47.7%) zeros Zeros
CGD FOIX has 36 (33.6%) zeros Zeros
CGD PAMIERS has 33 (30.8%) zeros Zeros
CGD ST GIRONS has 35 (32.7%) zeros Zeros
CGD BAR SUR AUBE has 33 (30.8%) zeros Zeros
CGD NOGENT SUR SEINE has 31 (29.0%) zeros Zeros
CGD ROSIERES PRES TROYES has 28 (26.2%) zeros Zeros
CGD CARCASSONNE has 32 (29.9%) zeros Zeros
CGD LIMOUX has 41 (38.3%) zeros Zeros
CGD NARBONNE has 24 (22.4%) zeros Zeros
CGD MILLAU has 39 (36.4%) zeros Zeros
CGD RODEZ has 35 (32.7%) zeros Zeros
CGD VILLEFRANCHE DE ROUERGUE has 36 (33.6%) zeros Zeros
CGD AIX EN PROVENCE has 22 (20.6%) zeros Zeros
CGD ARLES has 24 (22.4%) zeros Zeros
CGD AUBAGNE has 28 (26.2%) zeros Zeros
CGD ISTRES has 31 (29.0%) zeros Zeros
CGD SALON DE PROVENCE has 20 (18.7%) zeros Zeros
CGD BAYEUX has 34 (31.8%) zeros Zeros
CGD CAEN has 33 (30.8%) zeros Zeros
CGD DEAUVILLE has 34 (31.8%) zeros Zeros
CGD FALAISE has 32 (29.9%) zeros Zeros
CGD LISIEUX has 42 (39.3%) zeros Zeros
CGD VIRE NORMANDIE has 38 (35.5%) zeros Zeros
CGD AURILLAC has 38 (35.5%) zeros Zeros
CGD MAURIAC has 46 (43.0%) zeros Zeros
CGD ST FLOUR has 42 (39.3%) zeros Zeros
CGD ANGOULEME has 34 (31.8%) zeros Zeros
CGD COGNAC has 38 (35.5%) zeros Zeros
CGD CONFOLENS has 35 (32.7%) zeros Zeros
CGD JONZAC has 27 (25.2%) zeros Zeros
CGD LA ROCHELLE has 26 (24.3%) zeros Zeros
CGD ROCHEFORT has 25 (23.4%) zeros Zeros
CGD SAINTES has 31 (29.0%) zeros Zeros
CGD ST JEAN D ANGELY has 34 (31.8%) zeros Zeros
CGD BOURGES has 35 (32.7%) zeros Zeros
CGD ST AMAND MONTROND has 37 (34.6%) zeros Zeros
CGD VIERZON has 39 (36.4%) zeros Zeros
CGD BRIVE LA GAILLARDE has 36 (33.6%) zeros Zeros
CGD USSEL has 37 (34.6%) zeros Zeros
CGD BEAUNE has 32 (29.9%) zeros Zeros
CGD DIJON has 31 (29.0%) zeros Zeros
CGD IS SUR TILLE has 41 (38.3%) zeros Zeros
CGD MONTBARD has 38 (35.5%) zeros Zeros
CGD DINAN has 33 (30.8%) zeros Zeros
CGD GUINGAMP has 30 (28.0%) zeros Zeros
CGD LANNION has 27 (25.2%) zeros Zeros
CGD ST BRIEUC has 25 (23.4%) zeros Zeros
CGD AUBUSSON has 39 (36.4%) zeros Zeros
CGD GUERET has 34 (31.8%) zeros Zeros
CGD BERGERAC has 36 (33.6%) zeros Zeros
CGD NONTRON has 38 (35.5%) zeros Zeros
CGD PERIGUEUX has 34 (31.8%) zeros Zeros
CGD SARLAT LA CANEDA has 41 (38.3%) zeros Zeros
CGD BESANCON has 24 (22.4%) zeros Zeros
CGD MONTBELIARD has 24 (22.4%) zeros Zeros
CGD PONTARLIER has 42 (39.3%) zeros Zeros
CGD CREST has 27 (25.2%) zeros Zeros
CGD NYONS has 36 (33.6%) zeros Zeros
CGD PIERRELATTE has 32 (29.9%) zeros Zeros
CGD ROMANS SUR ISERE has 23 (21.5%) zeros Zeros
CGD BERNAY has 31 (29.0%) zeros Zeros
CGD EVREUX has 25 (23.4%) zeros Zeros
CGD LES ANDELYS has 27 (25.2%) zeros Zeros
CGD LOUVIERS has 35 (32.7%) zeros Zeros
CGD PONT AUDEMER has 33 (30.8%) zeros Zeros
CGD CHATEAUDUN has 32 (29.9%) zeros Zeros
CGD DREUX has 28 (26.2%) zeros Zeros
CGD LUCE has 25 (23.4%) zeros Zeros
CGD NOGENT LE ROTROU has 37 (34.6%) zeros Zeros
CGD BREST has 29 (27.1%) zeros Zeros
CGD CHATEAULIN has 35 (32.7%) zeros Zeros
CGD LANDERNEAU has 36 (33.6%) zeros Zeros
CGD PLOURIN LES MORLAIX has 28 (26.2%) zeros Zeros
CGD QUIMPER has 24 (22.4%) zeros Zeros
CGD QUIMPERLE has 33 (30.8%) zeros Zeros
CGD AJACCIO has 38 (35.5%) zeros Zeros
CGD PORTO VECCHIO has 28 (26.2%) zeros Zeros
CGD SARTENE has 43 (40.2%) zeros Zeros
CGD BASTIA has 33 (30.8%) zeros Zeros
CGD CALVI has 39 (36.4%) zeros Zeros
CGD CORTE has 43 (40.2%) zeros Zeros
CGD GHISONACCIA has 37 (34.6%) zeros Zeros
CGD ALES has 25 (23.4%) zeros Zeros
CGD BAGNOLS SUR CEZE has 28 (26.2%) zeros Zeros
CGD LE VIGAN has 44 (41.1%) zeros Zeros
CGD NIMES has 22 (20.6%) zeros Zeros
CGD VAUVERT has 22 (20.6%) zeros Zeros
CGD MURET has 23 (21.5%) zeros Zeros
CGD ST GAUDENS has 38 (35.5%) zeros Zeros
CGD TOULOUSE MIRAIL has 24 (22.4%) zeros Zeros
CGD TOULOUSE ST MICHEL has 22 (20.6%) zeros Zeros
CGD VILLEFRANCHE DE LAURAGAIS has 28 (26.2%) zeros Zeros
CGD AUCH has 33 (30.8%) zeros Zeros
CGD CONDOM has 27 (25.2%) zeros Zeros
CGD ARCACHON has 25 (23.4%) zeros Zeros
CGD BLAYE has 24 (22.4%) zeros Zeros
CGD BOULIAC has 27 (25.2%) zeros Zeros
CGD LANGON TOULENNE has 26 (24.3%) zeros Zeros
CGD LESPARRE MEDOC has 25 (23.4%) zeros Zeros
CGD LIBOURNE has 24 (22.4%) zeros Zeros
CGD MERIGNAC has 27 (25.2%) zeros Zeros
CGD BEZIERS has 24 (22.4%) zeros Zeros
CGD CASTELNAU LE LEZ has 18 (16.8%) zeros Zeros
CGD LODEVE has 30 (28.0%) zeros Zeros
CGD LUNEL has 18 (16.8%) zeros Zeros
CGD PEZENAS has 24 (22.4%) zeros Zeros
CGD MONTFORT SUR MEU has 32 (29.9%) zeros Zeros
CGD REDON has 31 (29.0%) zeros Zeros
CGD RENNES has 25 (23.4%) zeros Zeros
CGD ST MALO has 37 (34.6%) zeros Zeros
CGD VITRE has 25 (23.4%) zeros Zeros
CGD ISSOUDUN has 38 (35.5%) zeros Zeros
CGD LA CHATRE has 38 (35.5%) zeros Zeros
CGD LE BLANC has 47 (43.9%) zeros Zeros
CGD AMBOISE has 34 (31.8%) zeros Zeros
CGD CHINON has 29 (27.1%) zeros Zeros
CGD LOCHES has 36 (33.6%) zeros Zeros
CGD TOURS has 35 (32.7%) zeros Zeros
CGD BOURGOIN JALLIEU has 21 (19.6%) zeros Zeros
CGD GRENOBLE has 25 (23.4%) zeros Zeros
CGD LA MURE has 33 (30.8%) zeros Zeros
CGD LA TOUR DU PIN has 30 (28.0%) zeros Zeros
CGD MEYLAN has 20 (18.7%) zeros Zeros
CGD ST MARCELLIN has 29 (27.1%) zeros Zeros
CGD VIENNE has 24 (22.4%) zeros Zeros
CGD DOLE has 37 (34.6%) zeros Zeros
CGD LONS LE SAUNIER has 37 (34.6%) zeros Zeros
CGD ST CLAUDE has 37 (34.6%) zeros Zeros
CGD DAX has 30 (28.0%) zeros Zeros
CGD MONT DE MARSAN has 35 (32.7%) zeros Zeros
CGD PARENTIS EN BORN has 36 (33.6%) zeros Zeros
CGD BLOIS has 34 (31.8%) zeros Zeros
CGD ROMORANTIN LANTHENAY has 27 (25.2%) zeros Zeros
CGD VENDOME has 42 (39.3%) zeros Zeros
CGD MONTBRISON has 24 (22.4%) zeros Zeros
CGD ROANNE has 29 (27.1%) zeros Zeros
CGD ST ETIENNE has 35 (32.7%) zeros Zeros
CGD BRIOUDE has 35 (32.7%) zeros Zeros
CGD LE PUY EN VELAY has 36 (33.6%) zeros Zeros
CGD YSSINGEAUX has 31 (29.0%) zeros Zeros
CGD ANCENIS ST GEREON has 37 (34.6%) zeros Zeros
CGD CHATEAUBRIANT has 35 (32.7%) zeros Zeros
CGD NANTES has 27 (25.2%) zeros Zeros
CGD PORNIC has 33 (30.8%) zeros Zeros
CGD REZE has 20 (18.7%) zeros Zeros
CGD ST NAZAIRE has 27 (25.2%) zeros Zeros
CGD GIEN has 34 (31.8%) zeros Zeros
CGD MONTARGIS has 33 (30.8%) zeros Zeros
CGD ORLEANS has 28 (26.2%) zeros Zeros
CGD PITHIVIERS has 33 (30.8%) zeros Zeros
CGD CAHORS has 42 (39.3%) zeros Zeros
CGD FIGEAC has 34 (31.8%) zeros Zeros
CGD GOURDON has 34 (31.8%) zeros Zeros
CGD AGEN has 36 (33.6%) zeros Zeros
CGD MARMANDE has 31 (29.0%) zeros Zeros
CGD VILLENEUVE SUR LOT has 42 (39.3%) zeros Zeros
CGD FLORAC TROIS RIVIERES has 54 (50.5%) zeros Zeros
CGD MENDE has 40 (37.4%) zeros Zeros
CGD ANGERS has 26 (24.3%) zeros Zeros
CGD CHOLET has 35 (32.7%) zeros Zeros
CGD SAUMUR has 29 (27.1%) zeros Zeros
CGD SEGRE EN ANJOU BLEU has 33 (30.8%) zeros Zeros
CGD AVRANCHES has 35 (32.7%) zeros Zeros
CGD CHERBOURG EN COTENTIN has 35 (32.7%) zeros Zeros
CGD COUTANCES has 34 (31.8%) zeros Zeros
CGD ST LO has 38 (35.5%) zeros Zeros
CGD CHALONS EN CHAMPAGNE has 38 (35.5%) zeros Zeros
CGD EPERNAY has 35 (32.7%) zeros Zeros
CGD REIMS has 35 (32.7%) zeros Zeros
CGD VITRY LE FRANCOIS has 31 (29.0%) zeros Zeros
CGD CHAUMONT has 47 (43.9%) zeros Zeros
CGD LANGRES has 41 (38.3%) zeros Zeros
CGD ST DIZIER has 44 (41.1%) zeros Zeros
CGD CHATEAU GONTIER SUR MAYENNE has 24 (22.4%) zeros Zeros
CGD MAYENNE has 31 (29.0%) zeros Zeros
CGD LUNEVILLE has 38 (35.5%) zeros Zeros
CGD NANCY has 30 (28.0%) zeros Zeros
CGD TOUL has 38 (35.5%) zeros Zeros
CGD VAL DE BRIEY has 39 (36.4%) zeros Zeros
CGD COMMERCY has 29 (27.1%) zeros Zeros
CGD VERDUN has 34 (31.8%) zeros Zeros
CGD LORIENT has 23 (21.5%) zeros Zeros
CGD PLOERMEL has 35 (32.7%) zeros Zeros
CGD PONTIVY has 29 (27.1%) zeros Zeros
CGD VANNES has 29 (27.1%) zeros Zeros
CGD BOULAY MOSELLE has 32 (29.9%) zeros Zeros
CGD FORBACH has 32 (29.9%) zeros Zeros
CGD METZ has 28 (26.2%) zeros Zeros
CGD SARREBOURG has 35 (32.7%) zeros Zeros
CGD SARREGUEMINES has 37 (34.6%) zeros Zeros
CGD THIONVILLE has 26 (24.3%) zeros Zeros
CGD CHATEAU CHINON VILLE has 44 (41.1%) zeros Zeros
CGD COSNE COURS SUR LOIRE has 40 (37.4%) zeros Zeros
CGD NEVERS has 34 (31.8%) zeros Zeros
CGD AVESNES SUR HELPE has 34 (31.8%) zeros Zeros
CGD CAMBRAI has 32 (29.9%) zeros Zeros
CGD DOUAI has 29 (27.1%) zeros Zeros
CGD DUNKERQUE HOYMILLE has 35 (32.7%) zeros Zeros
CGD HAZEBROUCK has 33 (30.8%) zeros Zeros
CGD LILLE has 31 (29.0%) zeros Zeros
CGD VALENCIENNES has 41 (38.3%) zeros Zeros
CGD BEAUVAIS has 33 (30.8%) zeros Zeros
CGD CHANTILLY has 27 (25.2%) zeros Zeros
CGD CLERMONT has 29 (27.1%) zeros Zeros
CGD COMPIEGNE has 27 (25.2%) zeros Zeros
CGD MERU has 26 (24.3%) zeros Zeros
CGD SENLIS has 24 (22.4%) zeros Zeros
CGD ALENCON ARGENTAN has 36 (33.6%) zeros Zeros
CGD DOMFRONT EN POIRAIE has 31 (29.0%) zeros Zeros
CGD MORTAGNE AU PERCHE has 31 (29.0%) zeros Zeros
CGD ARRAS has 32 (29.9%) zeros Zeros
CGD BETHUNE has 35 (32.7%) zeros Zeros
CGD CALAIS has 36 (33.6%) zeros Zeros
CGD ECUIRES has 35 (32.7%) zeros Zeros
CGD ST OMER has 32 (29.9%) zeros Zeros
CGD ST POL SUR TERNOISE has 37 (34.6%) zeros Zeros
CGD AMBERT has 47 (43.9%) zeros Zeros
CGD CLERMONT FERRAND has 34 (31.8%) zeros Zeros
CGD ISSOIRE has 34 (31.8%) zeros Zeros
CGD RIOM has 31 (29.0%) zeros Zeros
CGD THIERS has 37 (34.6%) zeros Zeros
CGD BAYONNE has 34 (31.8%) zeros Zeros
CGD OLORON STE MARIE has 34 (31.8%) zeros Zeros
CGD ORTHEZ has 38 (35.5%) zeros Zeros
CGD PAU has 36 (33.6%) zeros Zeros
CGD ARGELES GAZOST has 43 (40.2%) zeros Zeros
CGD BAGNERES DE BIGORRE has 37 (34.6%) zeros Zeros
CGD TARBES has 40 (37.4%) zeros Zeros
CGD CERET has 26 (24.3%) zeros Zeros
CGD PERPIGNAN has 23 (21.5%) zeros Zeros
CGD PRADES has 31 (29.0%) zeros Zeros
CGD RIVESALTES has 26 (24.3%) zeros Zeros
CGD HAGUENAU has 30 (28.0%) zeros Zeros
CGD MOLSHEIM has 33 (30.8%) zeros Zeros
CGD SAVERNE has 31 (29.0%) zeros Zeros
CGD SELESTAT has 30 (28.0%) zeros Zeros
CGD STRASBOURG has 27 (25.2%) zeros Zeros
CGD WISSEMBOURG has 40 (37.4%) zeros Zeros
CGD ALTKIRCH has 37 (34.6%) zeros Zeros
CGD COLMAR has 34 (31.8%) zeros Zeros
CGD MULHOUSE has 28 (26.2%) zeros Zeros
CGD SOULTZ GUEBWILLER has 30 (28.0%) zeros Zeros
CGD BRON has 29 (27.1%) zeros Zeros
CGD GIVORS has 26 (24.3%) zeros Zeros
CGD L ARBRESLE has 27 (25.2%) zeros Zeros
CGD LYON has 26 (24.3%) zeros Zeros
CGD VILLEFRANCHE SUR SAONE has 19 (17.8%) zeros Zeros
CGD LURE has 23 (21.5%) zeros Zeros
CGD VESOUL has 28 (26.2%) zeros Zeros
CGD AUTUN has 39 (36.4%) zeros Zeros
CGD CHALON SUR SAONE has 35 (32.7%) zeros Zeros
CGD CHAROLLES has 41 (38.3%) zeros Zeros
CGD LOUHANS has 41 (38.3%) zeros Zeros
CGD MACON has 37 (34.6%) zeros Zeros
CGD LA FLECHE has 26 (24.3%) zeros Zeros
CGD LE MANS has 23 (21.5%) zeros Zeros
CGD MAMERS has 38 (35.5%) zeros Zeros
CGD ALBERTVILLE has 32 (29.9%) zeros Zeros
CGD CHAMBERY has 27 (25.2%) zeros Zeros
CGD ST JEAN DE MAURIENNE has 36 (33.6%) zeros Zeros
CGD ANNECY has 23 (21.5%) zeros Zeros
CGD BONNEVILLE has 24 (22.4%) zeros Zeros
CGD CHAMONIX MONT BLANC has 31 (29.0%) zeros Zeros
CGD ST JULIEN EN GENEVOIS has 27 (25.2%) zeros Zeros
CGD THONON LES BAINS has 28 (26.2%) zeros Zeros
CGD DIEPPE has 37 (34.6%) zeros Zeros
CGD FECAMP has 36 (33.6%) zeros Zeros
CGD LE HAVRE has 41 (38.3%) zeros Zeros
CGD NEUFCHATEL EN BRAY has 33 (30.8%) zeros Zeros
CGD ROUEN has 30 (28.0%) zeros Zeros
CGD YVETOT has 37 (34.6%) zeros Zeros
CGD COULOMMIERS has 22 (20.6%) zeros Zeros
CGD FONTAINEBLEAU has 33 (30.8%) zeros Zeros
CGD MEAUX has 25 (23.4%) zeros Zeros
CGD MELUN has 27 (25.2%) zeros Zeros
CGD PROVINS has 32 (29.9%) zeros Zeros
CGD MANTES LA JOLIE has 22 (20.6%) zeros Zeros
CGD RAMBOUILLET has 32 (29.9%) zeros Zeros
CGD ST GERMAIN EN LAYE has 27 (25.2%) zeros Zeros
CGD BRESSUIRE has 31 (29.0%) zeros Zeros
CGD NIORT has 32 (29.9%) zeros Zeros
CGD PARTHENAY has 35 (32.7%) zeros Zeros
CGD ABBEVILLE has 33 (30.8%) zeros Zeros
CGD AMIENS has 32 (29.9%) zeros Zeros
CGD MONTDIDIER has 41 (38.3%) zeros Zeros
CGD PERONNE has 34 (31.8%) zeros Zeros
CGD ALBI has 44 (41.1%) zeros Zeros
CGD CASTRES has 30 (28.0%) zeros Zeros
CGD GAILLAC has 34 (31.8%) zeros Zeros
CGD CASTELSARRASIN has 35 (32.7%) zeros Zeros
CGD MONTAUBAN has 31 (29.0%) zeros Zeros
CGD BRIGNOLES has 27 (25.2%) zeros Zeros
CGD DRAGUIGNAN has 21 (19.6%) zeros Zeros
CGD GASSIN ST TROPEZ has 22 (20.6%) zeros Zeros
CGD HYERES has 25 (23.4%) zeros Zeros
CGD LA VALETTE DU VAR has 26 (24.3%) zeros Zeros
CGD AVIGNON has 25 (23.4%) zeros Zeros
CGD CARPENTRAS has 32 (29.9%) zeros Zeros
CGD ORANGE has 31 (29.0%) zeros Zeros
CGD PERTUIS has 29 (27.1%) zeros Zeros
CGD FONTENAY LE COMTE has 28 (26.2%) zeros Zeros
CGD LA ROCHE SUR YON has 23 (21.5%) zeros Zeros
CGD LES SABLES D OLONNE has 26 (24.3%) zeros Zeros
CGD CHATELLERAULT has 35 (32.7%) zeros Zeros
CGD MONTMORILLON has 37 (34.6%) zeros Zeros
CGD POITIERS has 30 (28.0%) zeros Zeros
CGD BELLAC has 40 (37.4%) zeros Zeros
CGD LIMOGES has 35 (32.7%) zeros Zeros
CGD ST JUNIEN has 44 (41.1%) zeros Zeros
CGD NEUFCHATEAU has 30 (28.0%) zeros Zeros
CGD REMIREMONT has 28 (26.2%) zeros Zeros
CGD ST DIE DES VOSGES has 30 (28.0%) zeros Zeros
CGD AUXERRE has 31 (29.0%) zeros Zeros
CGD AVALLON has 31 (29.0%) zeros Zeros
CGD SENS has 19 (17.8%) zeros Zeros
CGD ETAMPES has 24 (22.4%) zeros Zeros
CGD EVRY COURCOURONNES has 20 (18.7%) zeros Zeros
CGD PALAISEAU has 24 (22.4%) zeros Zeros
CGD L ISLE ADAM has 25 (23.4%) zeros Zeros
CGD MONTMORENCY has 21 (19.6%) zeros Zeros
CGD PONTOISE has 30 (28.0%) zeros Zeros
CGD LE MOULE has 19 (17.8%) zeros Zeros
CGD POINTE A PITRE has 16 (15.0%) zeros Zeros
CGD ST CLAUDE (971) has 22 (20.6%) zeros Zeros
CGD FORT DE FRANCE has 25 (23.4%) zeros Zeros
CGD LA TRINITE has 27 (25.2%) zeros Zeros
CGD LE MARIN has 20 (18.7%) zeros Zeros
CGD KOUROU has 23 (21.5%) zeros Zeros
CGD MATOURY has 15 (14.0%) zeros Zeros
CGD ST LAURENT DU MARONI has 22 (20.6%) zeros Zeros
CGD ST BENOIT has 28 (26.2%) zeros Zeros
CGD ST PAUL has 27 (25.2%) zeros Zeros
CGD ST PIERRE has 24 (22.4%) zeros Zeros
CGD ST MARTIN ST BARTHELEMY has 20 (18.7%) zeros Zeros
CGD LES ARCHIPELS PAPEETE has 38 (35.5%) zeros Zeros
CGD LES ILES DU VENT FAAA has 30 (28.0%) zeros Zeros
CGD KONE has 46 (43.0%) zeros Zeros
CGD LA FOA has 44 (41.1%) zeros Zeros
CGD NOUMEA has 27 (25.2%) zeros Zeros
CGD POINDIMIE has 49 (45.8%) zeros Zeros

Reproduction

Analysis started2021-03-18 14:58:55.360661
Analysis finished2021-03-18 14:58:57.672199
Duration2.31 seconds
Software versionpandas-profiling v2.10.0
Download configurationconfig.yaml

Variables

Code index
Real number (ℝ≥0)

UNIQUE

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54
Minimum1
Maximum107
Zeros0
Zeros (%)0.0%
Memory size984.0 B
2021-03-18T15:58:57.845014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.3
Q127.5
median54
Q380.5
95-th percentile101.7
Maximum107
Range106
Interquartile range (IQR)53

Descriptive statistics

Standard deviation31.0322413
Coefficient of variation (CV)0.5746711352
Kurtosis-1.2
Mean54
Median Absolute Deviation (MAD)27
Skewness0
Sum5778
Variance963
MonotocityStrictly increasing
2021-03-18T15:58:58.023014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1071
 
0.9%
271
 
0.9%
291
 
0.9%
301
 
0.9%
311
 
0.9%
321
 
0.9%
331
 
0.9%
341
 
0.9%
351
 
0.9%
361
 
0.9%
Other values (97)97
90.7%
ValueCountFrequency (%)
11
0.9%
21
0.9%
31
0.9%
41
0.9%
51
0.9%
ValueCountFrequency (%)
1071
0.9%
1061
0.9%
1051
0.9%
1041
0.9%
1031
0.9%

Libellé index \ CGD
Categorical

HIGH CARDINALITY

Distinct104
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size984.0 B
Index non utilisé
 
4
Vols simples sur chantier
 
1
Incendies volontaires de biens publics
 
1
Délits des courses et des jeux
 
1
Délits de débits de boissons et infraction à la règlementation sur l'alcool et le tabac
 
1
Other values (99)
99 

Unique

Unique103 ?
Unique (%)96.3%

Sample

1st rowRèglements de compte entre malfaireurs
2nd rowHomicides pour voler et à l'occasion de vols
3rd rowHomicides pour d'autres motifs
4th rowTentatives d'homicides pour voler et à l'occasion de vols
5th rowTentatives homicides pour d'autres motifs
ValueCountFrequency (%)
Index non utilisé4
 
3.7%
Vols simples sur chantier1
 
0.9%
Incendies volontaires de biens publics1
 
0.9%
Délits des courses et des jeux1
 
0.9%
Délits de débits de boissons et infraction à la règlementation sur l'alcool et le tabac1
 
0.9%
Atteintes aux intérêts fondamentaux de la Nation1
 
0.9%
Autres délits économiques et financiers1
 
0.9%
Autres vols à main armée1
 
0.9%
Cambriolages de résidences secondaires1
 
0.9%
Vols à main armée contre des établissements financiers1
 
0.9%
Other values (94)94
87.9%

CGD BELLEY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean32.40776699
Minimum0
Maximum384
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:58:58.362018image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q333.5
95-th percentile154.9
Maximum384
Range384
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation62.25885824
Coefficient of variation (CV)1.921109167
Kurtosis11.67560625
Mean32.40776699
Median Absolute Deviation (MAD)4
Skewness3.112302519
Sum3338
Variance3876.165429
MonotocityNot monotonic
2021-03-18T15:58:58.575223image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
031
29.0%
27
 
6.5%
17
 
6.5%
54
 
3.7%
44
 
3.7%
34
 
3.7%
233
 
2.8%
202
 
1.9%
1052
 
1.9%
162
 
1.9%
Other values (34)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
17
 
6.5%
27
 
6.5%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
3841
0.9%
2591
0.9%
2251
0.9%
2061
0.9%
1791
0.9%

CGD BOURG EN BRESSE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct53
Distinct (%)51.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean41.81553398
Minimum0
Maximum493
Zeros29
Zeros (%)27.1%
Memory size984.0 B
2021-03-18T15:58:58.681240image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q341
95-th percentile202.9
Maximum493
Range493
Interquartile range (IQR)41

Descriptive statistics

Standard deviation78.25407934
Coefficient of variation (CV)1.871411695
Kurtosis11.89932277
Mean41.81553398
Median Absolute Deviation (MAD)7
Skewness3.075206409
Sum4307
Variance6123.700933
MonotocityNot monotonic
2021-03-18T15:58:58.784703image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
029
27.1%
110
 
9.3%
24
 
3.7%
34
 
3.7%
53
 
2.8%
152
 
1.9%
242
 
1.9%
102
 
1.9%
132
 
1.9%
72
 
1.9%
Other values (43)43
40.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
029
27.1%
110
 
9.3%
24
 
3.7%
34
 
3.7%
41
 
0.9%
ValueCountFrequency (%)
4931
0.9%
3011
0.9%
2951
0.9%
2261
0.9%
2131
0.9%

CGD GEX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean51.76699029
Minimum0
Maximum588
Zeros26
Zeros (%)24.3%
Memory size984.0 B
2021-03-18T15:58:58.884218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median10
Q349.5
95-th percentile273.8
Maximum588
Range588
Interquartile range (IQR)49

Descriptive statistics

Standard deviation104.3578124
Coefficient of variation (CV)2.015914231
Kurtosis12.58267881
Mean51.76699029
Median Absolute Deviation (MAD)10
Skewness3.301038586
Sum5332
Variance10890.55302
MonotocityNot monotonic
2021-03-18T15:58:58.980343image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
026
24.3%
17
 
6.5%
27
 
6.5%
35
 
4.7%
104
 
3.7%
114
 
3.7%
42
 
1.9%
332
 
1.9%
182
 
1.9%
572
 
1.9%
Other values (39)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
026
24.3%
17
 
6.5%
27
 
6.5%
35
 
4.7%
42
 
1.9%
ValueCountFrequency (%)
5881
0.9%
5741
0.9%
3591
0.9%
3121
0.9%
2931
0.9%

CGD TREVOUX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct53
Distinct (%)51.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean58.25242718
Minimum0
Maximum682
Zeros19
Zeros (%)17.8%
Memory size984.0 B
2021-03-18T15:58:59.082847image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q344.5
95-th percentile275.4
Maximum682
Range682
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation118.7065684
Coefficient of variation (CV)2.037796091
Kurtosis11.40311999
Mean58.25242718
Median Absolute Deviation (MAD)7
Skewness3.186524008
Sum6000
Variance14091.24938
MonotocityNot monotonic
2021-03-18T15:58:59.181547image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019
17.8%
111
 
10.3%
59
 
8.4%
26
 
5.6%
33
 
2.8%
73
 
2.8%
242
 
1.9%
262
 
1.9%
1482
 
1.9%
42
 
1.9%
Other values (43)44
41.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
019
17.8%
111
10.3%
26
 
5.6%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
6821
0.9%
5791
0.9%
4631
0.9%
3911
0.9%
3381
0.9%

CGD CHATEAU THIERRY NOGENTEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean16.91262136
Minimum0
Maximum165
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:58:59.280298image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314.5
95-th percentile82
Maximum165
Range165
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation32.5034257
Coefficient of variation (CV)1.921844344
Kurtosis7.569781405
Mean16.91262136
Median Absolute Deviation (MAD)2
Skewness2.690552991
Sum1742
Variance1056.472682
MonotocityNot monotonic
2021-03-18T15:58:59.367800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
037
34.6%
112
 
11.2%
27
 
6.5%
74
 
3.7%
822
 
1.9%
162
 
1.9%
102
 
1.9%
142
 
1.9%
312
 
1.9%
62
 
1.9%
Other values (27)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
112
 
11.2%
27
 
6.5%
32
 
1.9%
41
 
0.9%
ValueCountFrequency (%)
1651
0.9%
1481
0.9%
1401
0.9%
921
0.9%
861
0.9%

CGD LAON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)44.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean36.68932039
Minimum0
Maximum331
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T15:58:59.463580image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q333
95-th percentile175
Maximum331
Range331
Interquartile range (IQR)33

Descriptive statistics

Standard deviation69.64279014
Coefficient of variation (CV)1.898176074
Kurtosis7.168422999
Mean36.68932039
Median Absolute Deviation (MAD)4
Skewness2.675204773
Sum3779
Variance4850.118218
MonotocityNot monotonic
2021-03-18T15:58:59.556810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
028
26.2%
111
 
10.3%
25
 
4.7%
45
 
4.7%
33
 
2.8%
173
 
2.8%
143
 
2.8%
332
 
1.9%
312
 
1.9%
52
 
1.9%
Other values (36)39
36.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
111
 
10.3%
25
 
4.7%
33
 
2.8%
45
 
4.7%
ValueCountFrequency (%)
3311
0.9%
3231
0.9%
2881
0.9%
2621
0.9%
2201
0.9%

CGD SOISSONS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)37.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean24.31067961
Minimum0
Maximum260
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:58:59.650104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q321.5
95-th percentile118.9
Maximum260
Range260
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation46.97392458
Coefficient of variation (CV)1.932234118
Kurtosis8.859610256
Mean24.31067961
Median Absolute Deviation (MAD)5
Skewness2.859024459
Sum2504
Variance2206.549591
MonotocityNot monotonic
2021-03-18T15:58:59.745930image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
035
32.7%
17
 
6.5%
27
 
6.5%
125
 
4.7%
64
 
3.7%
54
 
3.7%
142
 
1.9%
72
 
1.9%
372
 
1.9%
202
 
1.9%
Other values (29)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
17
 
6.5%
27
 
6.5%
42
 
1.9%
54
 
3.7%
ValueCountFrequency (%)
2601
0.9%
2061
0.9%
1761
0.9%
1711
0.9%
1301
0.9%

CGD ST QUENTIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean22.09708738
Minimum0
Maximum212
Zeros39
Zeros (%)36.4%
Memory size984.0 B
2021-03-18T15:58:59.843919image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q322.5
95-th percentile103.7
Maximum212
Range212
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation40.8427195
Coefficient of variation (CV)1.848330452
Kurtosis7.201537103
Mean22.09708738
Median Absolute Deviation (MAD)3
Skewness2.607508687
Sum2276
Variance1668.127737
MonotocityNot monotonic
2021-03-18T15:59:00.069093image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
039
36.4%
36
 
5.6%
16
 
5.6%
24
 
3.7%
153
 
2.8%
112
 
1.9%
122
 
1.9%
102
 
1.9%
42
 
1.9%
72
 
1.9%
Other values (31)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
039
36.4%
16
 
5.6%
24
 
3.7%
36
 
5.6%
42
 
1.9%
ValueCountFrequency (%)
2121
0.9%
1811
0.9%
1651
0.9%
1301
0.9%
1181
0.9%

CGD VERVINS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean22.18446602
Minimum0
Maximum213
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:00.166377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q329.5
95-th percentile126.1
Maximum213
Range213
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation39.61821416
Coefficient of variation (CV)1.785853855
Kurtosis7.704664692
Mean22.18446602
Median Absolute Deviation (MAD)4
Skewness2.670767734
Sum2285
Variance1569.602894
MonotocityNot monotonic
2021-03-18T15:59:00.255389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
036
33.6%
18
 
7.5%
46
 
5.6%
25
 
4.7%
53
 
2.8%
363
 
2.8%
32
 
1.9%
102
 
1.9%
152
 
1.9%
282
 
1.9%
Other values (33)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
18
 
7.5%
25
 
4.7%
32
 
1.9%
46
 
5.6%
ValueCountFrequency (%)
2131
0.9%
1701
0.9%
1471
0.9%
1351
0.9%
1291
0.9%

CGD MONTLUCON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct33
Distinct (%)32.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean12.01941748
Minimum0
Maximum162
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:00.342289image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile57.7
Maximum162
Range162
Interquartile range (IQR)10

Descriptive statistics

Standard deviation24.90136644
Coefficient of variation (CV)2.071761505
Kurtosis15.33397009
Mean12.01941748
Median Absolute Deviation (MAD)2
Skewness3.550321532
Sum1238
Variance620.0780506
MonotocityNot monotonic
2021-03-18T15:59:00.429337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
037
34.6%
112
 
11.2%
26
 
5.6%
55
 
4.7%
34
 
3.7%
173
 
2.8%
73
 
2.8%
63
 
2.8%
93
 
2.8%
42
 
1.9%
Other values (23)25
23.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
112
 
11.2%
26
 
5.6%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
1621
0.9%
1131
0.9%
921
0.9%
641
0.9%
621
0.9%

CGD MOULINS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean12.94174757
Minimum0
Maximum149
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:00.523242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314.5
95-th percentile64.7
Maximum149
Range149
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation24.6846087
Coefficient of variation (CV)1.907362863
Kurtosis10.75338423
Mean12.94174757
Median Absolute Deviation (MAD)2
Skewness3.020187595
Sum1333
Variance609.3299067
MonotocityNot monotonic
2021-03-18T15:59:00.611104image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
038
35.5%
28
 
7.5%
18
 
7.5%
45
 
4.7%
54
 
3.7%
83
 
2.8%
33
 
2.8%
92
 
1.9%
242
 
1.9%
62
 
1.9%
Other values (27)28
26.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
18
 
7.5%
28
 
7.5%
33
 
2.8%
45
 
4.7%
ValueCountFrequency (%)
1491
0.9%
981
0.9%
901
0.9%
891
0.9%
661
0.9%

CGD VICHY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean25.13592233
Minimum0
Maximum336
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:00.711105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q326
95-th percentile115.8
Maximum336
Range336
Interquartile range (IQR)26

Descriptive statistics

Standard deviation50.28468923
Coefficient of variation (CV)2.000511005
Kurtosis15.9566731
Mean25.13592233
Median Absolute Deviation (MAD)3
Skewness3.54248735
Sum2589
Variance2528.549971
MonotocityNot monotonic
2021-03-18T15:59:00.805046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
035
32.7%
110
 
9.3%
34
 
3.7%
114
 
3.7%
43
 
2.8%
243
 
2.8%
23
 
2.8%
472
 
1.9%
92
 
1.9%
142
 
1.9%
Other values (33)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
110
 
9.3%
23
 
2.8%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
3361
0.9%
2201
0.9%
1611
0.9%
1431
0.9%
1341
0.9%

CGD BARCELONNETTE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)20.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean5.077669903
Minimum0
Maximum77
Zeros52
Zeros (%)48.6%
Memory size984.0 B
2021-03-18T15:59:00.895555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile26.7
Maximum77
Range77
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.9694786
Coefficient of variation (CV)2.357277813
Kurtosis16.19987036
Mean5.077669903
Median Absolute Deviation (MAD)0
Skewness3.78449155
Sum523
Variance143.268418
MonotocityNot monotonic
2021-03-18T15:59:00.975484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
052
48.6%
210
 
9.3%
18
 
7.5%
35
 
4.7%
45
 
4.7%
53
 
2.8%
492
 
1.9%
132
 
1.9%
92
 
1.9%
72
 
1.9%
Other values (11)12
 
11.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
052
48.6%
18
 
7.5%
210
 
9.3%
35
 
4.7%
45
 
4.7%
ValueCountFrequency (%)
771
0.9%
492
1.9%
461
0.9%
321
0.9%
271
0.9%

CGD CASTELLANE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct27
Distinct (%)26.2%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean8.650485437
Minimum0
Maximum106
Zeros48
Zeros (%)44.9%
Memory size984.0 B
2021-03-18T15:59:01.063089image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile59.2
Maximum106
Range106
Interquartile range (IQR)7

Descriptive statistics

Standard deviation18.64409108
Coefficient of variation (CV)2.155265299
Kurtosis10.43434817
Mean8.650485437
Median Absolute Deviation (MAD)1
Skewness3.133002007
Sum891
Variance347.6021321
MonotocityNot monotonic
2021-03-18T15:59:01.146177image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
048
44.9%
114
 
13.1%
45
 
4.7%
53
 
2.8%
63
 
2.8%
112
 
1.9%
22
 
1.9%
32
 
1.9%
432
 
1.9%
232
 
1.9%
Other values (17)20
18.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
048
44.9%
114
 
13.1%
22
 
1.9%
32
 
1.9%
45
 
4.7%
ValueCountFrequency (%)
1061
0.9%
801
0.9%
681
0.9%
641
0.9%
631
0.9%

CGD DIGNE LES BAINS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)35.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean17.33980583
Minimum0
Maximum206
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:01.233204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q312.5
95-th percentile101.6
Maximum206
Range206
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation37.78591744
Coefficient of variation (CV)2.179143055
Kurtosis11.20366823
Mean17.33980583
Median Absolute Deviation (MAD)2
Skewness3.273805174
Sum1786
Variance1427.775557
MonotocityNot monotonic
2021-03-18T15:59:01.317646image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
034
31.8%
113
 
12.1%
28
 
7.5%
84
 
3.7%
103
 
2.8%
243
 
2.8%
93
 
2.8%
52
 
1.9%
122
 
1.9%
42
 
1.9%
Other values (26)29
27.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
113
 
12.1%
28
 
7.5%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
2061
0.9%
1861
0.9%
1601
0.9%
1201
0.9%
1121
0.9%

CGD FORCALQUIER
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)33.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean18.15533981
Minimum0
Maximum228
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:01.401450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314
95-th percentile106.6
Maximum228
Range228
Interquartile range (IQR)14

Descriptive statistics

Standard deviation37.7800023
Coefficient of variation (CV)2.080930608
Kurtosis11.34598089
Mean18.15533981
Median Absolute Deviation (MAD)2
Skewness3.172923266
Sum1870
Variance1427.328574
MonotocityNot monotonic
2021-03-18T15:59:01.486499image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
035
32.7%
113
 
12.1%
65
 
4.7%
34
 
3.7%
24
 
3.7%
133
 
2.8%
103
 
2.8%
53
 
2.8%
72
 
1.9%
182
 
1.9%
Other values (24)29
27.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
113
 
12.1%
24
 
3.7%
34
 
3.7%
53
 
2.8%
ValueCountFrequency (%)
2281
0.9%
1441
0.9%
1411
0.9%
1311
0.9%
1201
0.9%

CGD BRIANCON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct31
Distinct (%)30.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean14.37864078
Minimum0
Maximum203
Zeros42
Zeros (%)39.3%
Memory size984.0 B
2021-03-18T15:59:01.572435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310.5
95-th percentile63.4
Maximum203
Range203
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation34.80312035
Coefficient of variation (CV)2.420473597
Kurtosis16.52670815
Mean14.37864078
Median Absolute Deviation (MAD)2
Skewness3.944022518
Sum1481
Variance1211.257186
MonotocityNot monotonic
2021-03-18T15:59:01.660316image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
042
39.3%
17
 
6.5%
26
 
5.6%
75
 
4.7%
64
 
3.7%
54
 
3.7%
133
 
2.8%
103
 
2.8%
43
 
2.8%
202
 
1.9%
Other values (21)24
22.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
042
39.3%
17
 
6.5%
26
 
5.6%
31
 
0.9%
43
 
2.8%
ValueCountFrequency (%)
2031
0.9%
1811
0.9%
1711
0.9%
1041
0.9%
991
0.9%

CGD GAP
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)33.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean16.90291262
Minimum0
Maximum209
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:01.754917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q314
95-th percentile104
Maximum209
Range209
Interquartile range (IQR)14

Descriptive statistics

Standard deviation36.94577759
Coefficient of variation (CV)2.185763981
Kurtosis12.42601544
Mean16.90291262
Median Absolute Deviation (MAD)3
Skewness3.445896722
Sum1741
Variance1364.990482
MonotocityNot monotonic
2021-03-18T15:59:02.003954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
033
30.8%
19
 
8.4%
37
 
6.5%
26
 
5.6%
95
 
4.7%
214
 
3.7%
144
 
3.7%
43
 
2.8%
73
 
2.8%
62
 
1.9%
Other values (24)27
25.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
19
 
8.4%
26
 
5.6%
37
 
6.5%
43
 
2.8%
ValueCountFrequency (%)
2091
0.9%
1801
0.9%
1531
0.9%
1361
0.9%
1052
1.9%

CGD CANNES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct53
Distinct (%)51.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean62.24271845
Minimum0
Maximum789
Zeros20
Zeros (%)18.7%
Memory size984.0 B
2021-03-18T15:59:02.102072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median12
Q358
95-th percentile323.4
Maximum789
Range789
Interquartile range (IQR)57

Descriptive statistics

Standard deviation129.1641656
Coefficient of variation (CV)2.075169094
Kurtosis13.24865784
Mean62.24271845
Median Absolute Deviation (MAD)12
Skewness3.441704835
Sum6411
Variance16683.38169
MonotocityNot monotonic
2021-03-18T15:59:02.201934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020
18.7%
112
 
11.2%
85
 
4.7%
23
 
2.8%
33
 
2.8%
93
 
2.8%
173
 
2.8%
113
 
2.8%
122
 
1.9%
802
 
1.9%
Other values (43)47
43.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
020
18.7%
112
11.2%
23
 
2.8%
33
 
2.8%
41
 
0.9%
ValueCountFrequency (%)
7891
0.9%
5951
0.9%
4761
0.9%
4371
0.9%
4271
0.9%

CGD GRASSE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean29.78640777
Minimum0
Maximum453
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T15:59:02.303224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q331
95-th percentile174
Maximum453
Range453
Interquartile range (IQR)31

Descriptive statistics

Standard deviation64.25358012
Coefficient of variation (CV)2.157144313
Kurtosis19.5151823
Mean29.78640777
Median Absolute Deviation (MAD)5
Skewness3.91906014
Sum3068
Variance4128.522559
MonotocityNot monotonic
2021-03-18T15:59:02.390784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
028
26.2%
29
 
8.4%
45
 
4.7%
15
 
4.7%
94
 
3.7%
313
 
2.8%
33
 
2.8%
83
 
2.8%
53
 
2.8%
233
 
2.8%
Other values (30)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
15
 
4.7%
29
 
8.4%
33
 
2.8%
45
 
4.7%
ValueCountFrequency (%)
4531
0.9%
2251
0.9%
2161
0.9%
2051
0.9%
1831
0.9%

CGD MENTON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)33.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean15.2815534
Minimum0
Maximum175
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:02.477827image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q312
95-th percentile83.3
Maximum175
Range175
Interquartile range (IQR)12

Descriptive statistics

Standard deviation30.8155224
Coefficient of variation (CV)2.016517667
Kurtosis9.783558503
Mean15.2815534
Median Absolute Deviation (MAD)3
Skewness3.019320205
Sum1574
Variance949.5964211
MonotocityNot monotonic
2021-03-18T15:59:02.563187image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
031
29.0%
114
13.1%
26
 
5.6%
65
 
4.7%
35
 
4.7%
104
 
3.7%
163
 
2.8%
93
 
2.8%
53
 
2.8%
742
 
1.9%
Other values (24)27
25.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
114
13.1%
26
 
5.6%
35
 
4.7%
42
 
1.9%
ValueCountFrequency (%)
1751
0.9%
1361
0.9%
1111
0.9%
1021
0.9%
961
0.9%

CGD NICE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean32.30097087
Minimum0
Maximum352
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T15:59:02.658387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q328
95-th percentile178.3
Maximum352
Range352
Interquartile range (IQR)28

Descriptive statistics

Standard deviation61.30873893
Coefficient of variation (CV)1.898046321
Kurtosis9.483469004
Mean32.30097087
Median Absolute Deviation (MAD)7
Skewness2.93998818
Sum3327
Variance3758.76147
MonotocityNot monotonic
2021-03-18T15:59:02.752309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
028
26.2%
18
 
7.5%
37
 
6.5%
144
 
3.7%
44
 
3.7%
283
 
2.8%
173
 
2.8%
292
 
1.9%
222
 
1.9%
132
 
1.9%
Other values (35)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
18
 
7.5%
22
 
1.9%
37
 
6.5%
44
 
3.7%
ValueCountFrequency (%)
3521
0.9%
2641
0.9%
2191
0.9%
1911
0.9%
1841
0.9%

CGD PUGET THENIERS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct28
Distinct (%)27.2%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean10.03883495
Minimum0
Maximum122
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:02.841851image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310.5
95-th percentile47.7
Maximum122
Range122
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation20.43014033
Coefficient of variation (CV)2.035110691
Kurtosis13.26508041
Mean10.03883495
Median Absolute Deviation (MAD)2
Skewness3.461833974
Sum1034
Variance417.3906339
MonotocityNot monotonic
2021-03-18T15:59:02.928046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
037
34.6%
110
 
9.3%
36
 
5.6%
65
 
4.7%
45
 
4.7%
25
 
4.7%
94
 
3.7%
154
 
3.7%
164
 
3.7%
122
 
1.9%
Other values (18)21
19.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
110
 
9.3%
25
 
4.7%
36
 
5.6%
45
 
4.7%
ValueCountFrequency (%)
1221
0.9%
951
0.9%
901
0.9%
721
0.9%
531
0.9%

CGD LARGENTIERE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)37.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean27.91262136
Minimum0
Maximum444
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:03.018456image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q319.5
95-th percentile152.9
Maximum444
Range444
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation63.47488415
Coefficient of variation (CV)2.274056719
Kurtosis19.95932713
Mean27.91262136
Median Absolute Deviation (MAD)3
Skewness3.998009957
Sum2875
Variance4029.060918
MonotocityNot monotonic
2021-03-18T15:59:03.106269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
036
33.6%
110
 
9.3%
24
 
3.7%
84
 
3.7%
144
 
3.7%
63
 
2.8%
162
 
1.9%
92
 
1.9%
212
 
1.9%
32
 
1.9%
Other values (29)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
110
 
9.3%
24
 
3.7%
32
 
1.9%
41
 
0.9%
ValueCountFrequency (%)
4441
0.9%
2751
0.9%
1911
0.9%
1801
0.9%
1771
0.9%

CGD LE TEIL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean30.39805825
Minimum0
Maximum279
Zeros29
Zeros (%)27.1%
Memory size984.0 B
2021-03-18T15:59:03.196321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q328
95-th percentile153
Maximum279
Range279
Interquartile range (IQR)28

Descriptive statistics

Standard deviation56.51502313
Coefficient of variation (CV)1.859165564
Kurtosis6.413100092
Mean30.39805825
Median Absolute Deviation (MAD)5
Skewness2.530005227
Sum3131
Variance3193.947839
MonotocityNot monotonic
2021-03-18T15:59:03.282297image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
029
27.1%
112
 
11.2%
25
 
4.7%
44
 
3.7%
103
 
2.8%
283
 
2.8%
83
 
2.8%
173
 
2.8%
53
 
2.8%
72
 
1.9%
Other values (32)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
029
27.1%
112
11.2%
25
 
4.7%
31
 
0.9%
44
 
3.7%
ValueCountFrequency (%)
2791
0.9%
2441
0.9%
2311
0.9%
1981
0.9%
1621
0.9%

CGD TOURNON SUR RHONE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean32.89320388
Minimum0
Maximum460
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:03.373733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q329
95-th percentile146.6
Maximum460
Range460
Interquartile range (IQR)29

Descriptive statistics

Standard deviation65.76948941
Coefficient of variation (CV)1.999485658
Kurtosis18.61829769
Mean32.89320388
Median Absolute Deviation (MAD)5
Skewness3.776756255
Sum3388
Variance4325.625738
MonotocityNot monotonic
2021-03-18T15:59:03.466741image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
027
25.2%
110
 
9.3%
45
 
4.7%
134
 
3.7%
34
 
3.7%
53
 
2.8%
173
 
2.8%
23
 
2.8%
113
 
2.8%
252
 
1.9%
Other values (34)39
36.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
110
 
9.3%
23
 
2.8%
34
 
3.7%
45
 
4.7%
ValueCountFrequency (%)
4601
0.9%
2611
0.9%
2331
0.9%
1891
0.9%
1731
0.9%

CGD CHARLEVILLE MEZIERES
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size984.0 B
0.0
103 
nan
 
4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0
ValueCountFrequency (%)
0.0103
96.3%
nan4
 
3.7%

CGD RETHEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)35.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean12.82524272
Minimum0
Maximum113
Zeros39
Zeros (%)36.4%
Memory size984.0 B
2021-03-18T15:59:03.629217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315
95-th percentile53.1
Maximum113
Range113
Interquartile range (IQR)15

Descriptive statistics

Standard deviation23.20092425
Coefficient of variation (CV)1.809004692
Kurtosis7.662850595
Mean12.82524272
Median Absolute Deviation (MAD)2
Skewness2.664554361
Sum1321
Variance538.282886
MonotocityNot monotonic
2021-03-18T15:59:03.715307image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
039
36.4%
112
 
11.2%
85
 
4.7%
45
 
4.7%
25
 
4.7%
33
 
2.8%
152
 
1.9%
272
 
1.9%
422
 
1.9%
132
 
1.9%
Other values (26)26
24.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
039
36.4%
112
 
11.2%
25
 
4.7%
33
 
2.8%
45
 
4.7%
ValueCountFrequency (%)
1131
0.9%
1121
0.9%
961
0.9%
921
0.9%
591
0.9%

CGD REVIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean19.52427184
Minimum0
Maximum237
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:03.802961image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q316
95-th percentile97
Maximum237
Range237
Interquartile range (IQR)16

Descriptive statistics

Standard deviation38.78797182
Coefficient of variation (CV)1.986653952
Kurtosis11.80228998
Mean19.52427184
Median Absolute Deviation (MAD)3
Skewness3.14153078
Sum2011
Variance1504.506758
MonotocityNot monotonic
2021-03-18T15:59:03.891114image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
033
30.8%
114
13.1%
36
 
5.6%
124
 
3.7%
93
 
2.8%
43
 
2.8%
73
 
2.8%
62
 
1.9%
82
 
1.9%
22
 
1.9%
Other values (28)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
114
13.1%
22
 
1.9%
36
 
5.6%
43
 
2.8%
ValueCountFrequency (%)
2371
0.9%
1731
0.9%
1421
0.9%
1111
0.9%
1021
0.9%

CGD SEDAN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean27.14563107
Minimum0
Maximum388
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:03.982017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q324
95-th percentile131.8
Maximum388
Range388
Interquartile range (IQR)24

Descriptive statistics

Standard deviation57.84994242
Coefficient of variation (CV)2.131095876
Kurtosis17.83826108
Mean27.14563107
Median Absolute Deviation (MAD)4
Skewness3.793204636
Sum2796
Variance3346.615839
MonotocityNot monotonic
2021-03-18T15:59:04.289604image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
035
32.7%
17
 
6.5%
35
 
4.7%
44
 
3.7%
24
 
3.7%
73
 
2.8%
243
 
2.8%
123
 
2.8%
143
 
2.8%
52
 
1.9%
Other values (31)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
17
 
6.5%
24
 
3.7%
35
 
4.7%
44
 
3.7%
ValueCountFrequency (%)
3881
0.9%
2841
0.9%
1721
0.9%
1481
0.9%
1421
0.9%

CGD VOUZIERS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct29
Distinct (%)28.2%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean7
Minimum0
Maximum86
Zeros51
Zeros (%)47.7%
Memory size984.0 B
2021-03-18T15:59:04.387359image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37.5
95-th percentile31.8
Maximum86
Range86
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation14.03916092
Coefficient of variation (CV)2.005594417
Kurtosis11.91051092
Mean7
Median Absolute Deviation (MAD)1
Skewness3.165121459
Sum721
Variance197.0980392
MonotocityNot monotonic
2021-03-18T15:59:04.466326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
051
47.7%
26
 
5.6%
36
 
5.6%
16
 
5.6%
44
 
3.7%
182
 
1.9%
102
 
1.9%
52
 
1.9%
172
 
1.9%
82
 
1.9%
Other values (19)20
 
18.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
051
47.7%
16
 
5.6%
26
 
5.6%
36
 
5.6%
44
 
3.7%
ValueCountFrequency (%)
861
0.9%
571
0.9%
531
0.9%
521
0.9%
381
0.9%

CGD FOIX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)33.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean15.19417476
Minimum0
Maximum192
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:04.551467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315.5
95-th percentile77.2
Maximum192
Range192
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation30.70034114
Coefficient of variation (CV)2.020533634
Kurtosis13.26516798
Mean15.19417476
Median Absolute Deviation (MAD)2
Skewness3.347013886
Sum1565
Variance942.5109461
MonotocityNot monotonic
2021-03-18T15:59:04.642011image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
036
33.6%
111
 
10.3%
25
 
4.7%
84
 
3.7%
74
 
3.7%
164
 
3.7%
33
 
2.8%
223
 
2.8%
63
 
2.8%
92
 
1.9%
Other values (24)28
26.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
111
 
10.3%
25
 
4.7%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
1921
0.9%
1401
0.9%
1031
0.9%
991
0.9%
871
0.9%

CGD PAMIERS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)35.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean18.82524272
Minimum0
Maximum218
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:04.737441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q321
95-th percentile91.9
Maximum218
Range218
Interquartile range (IQR)21

Descriptive statistics

Standard deviation37.26282571
Coefficient of variation (CV)1.979407451
Kurtosis12.58084379
Mean18.82524272
Median Absolute Deviation (MAD)3
Skewness3.262528534
Sum1939
Variance1388.51818
MonotocityNot monotonic
2021-03-18T15:59:04.822529image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
033
30.8%
112
 
11.2%
26
 
5.6%
75
 
4.7%
34
 
3.7%
43
 
2.8%
103
 
2.8%
343
 
2.8%
62
 
1.9%
222
 
1.9%
Other values (26)30
28.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
112
 
11.2%
26
 
5.6%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
2181
0.9%
1991
0.9%
1121
0.9%
1101
0.9%
931
0.9%

CGD ST GIRONS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct28
Distinct (%)27.2%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean10.27184466
Minimum0
Maximum105
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:04.907779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile50.1
Maximum105
Range105
Interquartile range (IQR)11

Descriptive statistics

Standard deviation19.61651674
Coefficient of variation (CV)1.909736507
Kurtosis10.50762934
Mean10.27184466
Median Absolute Deviation (MAD)2
Skewness3.093922527
Sum1058
Variance384.8077289
MonotocityNot monotonic
2021-03-18T15:59:04.991474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
035
32.7%
115
14.0%
35
 
4.7%
94
 
3.7%
24
 
3.7%
54
 
3.7%
44
 
3.7%
213
 
2.8%
133
 
2.8%
83
 
2.8%
Other values (18)23
21.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
115
14.0%
24
 
3.7%
35
 
4.7%
44
 
3.7%
ValueCountFrequency (%)
1051
0.9%
1021
0.9%
771
0.9%
661
0.9%
621
0.9%

CGD BAR SUR AUBE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean20.02912621
Minimum0
Maximum165
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:05.078883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q318.5
95-th percentile102.2
Maximum165
Range165
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation35.43108647
Coefficient of variation (CV)1.768978142
Kurtosis5.32331082
Mean20.02912621
Median Absolute Deviation (MAD)3
Skewness2.342247356
Sum2063
Variance1255.361888
MonotocityNot monotonic
2021-03-18T15:59:05.166476image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
033
30.8%
19
 
8.4%
29
 
8.4%
64
 
3.7%
34
 
3.7%
84
 
3.7%
53
 
2.8%
172
 
1.9%
102
 
1.9%
162
 
1.9%
Other values (30)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
19
 
8.4%
29
 
8.4%
34
 
3.7%
53
 
2.8%
ValueCountFrequency (%)
1651
0.9%
1551
0.9%
1401
0.9%
1181
0.9%
1131
0.9%

CGD NOGENT SUR SEINE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)44.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean28.52427184
Minimum0
Maximum273
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:05.260158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q328.5
95-th percentile153.5
Maximum273
Range273
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation53.65792975
Coefficient of variation (CV)1.881132323
Kurtosis6.868192819
Mean28.52427184
Median Absolute Deviation (MAD)4
Skewness2.604623449
Sum2938
Variance2879.173425
MonotocityNot monotonic
2021-03-18T15:59:05.348575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
031
29.0%
18
 
7.5%
27
 
6.5%
46
 
5.6%
64
 
3.7%
532
 
1.9%
322
 
1.9%
132
 
1.9%
112
 
1.9%
32
 
1.9%
Other values (36)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
18
 
7.5%
27
 
6.5%
32
 
1.9%
46
 
5.6%
ValueCountFrequency (%)
2731
0.9%
2401
0.9%
2041
0.9%
1601
0.9%
1591
0.9%

CGD ROSIERES PRES TROYES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)44.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean28.45631068
Minimum0
Maximum308
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T15:59:05.443722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q326.5
95-th percentile123.9
Maximum308
Range308
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation54.91968766
Coefficient of variation (CV)1.929965141
Kurtosis10.51755817
Mean28.45631068
Median Absolute Deviation (MAD)4
Skewness3.056147946
Sum2931
Variance3016.172092
MonotocityNot monotonic
2021-03-18T15:59:05.536414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
028
26.2%
110
 
9.3%
46
 
5.6%
26
 
5.6%
34
 
3.7%
163
 
2.8%
73
 
2.8%
152
 
1.9%
102
 
1.9%
122
 
1.9%
Other values (36)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
110
 
9.3%
26
 
5.6%
34
 
3.7%
46
 
5.6%
ValueCountFrequency (%)
3081
0.9%
2751
0.9%
1991
0.9%
1781
0.9%
1711
0.9%

CGD CARCASSONNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean30.65048544
Minimum0
Maximum313
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T15:59:05.632735image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q328.5
95-th percentile152.8
Maximum313
Range313
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation57.42389827
Coefficient of variation (CV)1.873506976
Kurtosis8.30166762
Mean30.65048544
Median Absolute Deviation (MAD)4
Skewness2.775825688
Sum3157
Variance3297.504093
MonotocityNot monotonic
2021-03-18T15:59:05.724180image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
032
29.9%
18
 
7.5%
27
 
6.5%
63
 
2.8%
133
 
2.8%
43
 
2.8%
143
 
2.8%
32
 
1.9%
112
 
1.9%
312
 
1.9%
Other values (34)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
18
 
7.5%
27
 
6.5%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
3131
0.9%
2561
0.9%
2131
0.9%
1971
0.9%
1701
0.9%

CGD LIMOUX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct35
Distinct (%)34.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean14.13592233
Minimum0
Maximum144
Zeros41
Zeros (%)38.3%
Memory size984.0 B
2021-03-18T15:59:05.818811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314.5
95-th percentile78.8
Maximum144
Range144
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation26.80066159
Coefficient of variation (CV)1.895925923
Kurtosis8.229999523
Mean14.13592233
Median Absolute Deviation (MAD)2
Skewness2.803416602
Sum1456
Variance718.2754616
MonotocityNot monotonic
2021-03-18T15:59:05.905192image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
041
38.3%
26
 
5.6%
16
 
5.6%
103
 
2.8%
43
 
2.8%
63
 
2.8%
93
 
2.8%
122
 
1.9%
282
 
1.9%
192
 
1.9%
Other values (25)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
041
38.3%
16
 
5.6%
26
 
5.6%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
1441
0.9%
1211
0.9%
921
0.9%
891
0.9%
861
0.9%

CGD NARBONNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)45.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean40.18446602
Minimum0
Maximum424
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T15:59:06.004085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q330.5
95-th percentile201.3
Maximum424
Range424
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation82.9363975
Coefficient of variation (CV)2.063891989
Kurtosis9.272267651
Mean40.18446602
Median Absolute Deviation (MAD)7
Skewness3.02637275
Sum4139
Variance6878.446031
MonotocityNot monotonic
2021-03-18T15:59:06.101395image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
024
22.4%
114
 
13.1%
26
 
5.6%
134
 
3.7%
183
 
2.8%
32
 
1.9%
92
 
1.9%
272
 
1.9%
82
 
1.9%
72
 
1.9%
Other values (37)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
114
13.1%
26
 
5.6%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
4241
0.9%
3871
0.9%
3411
0.9%
3131
0.9%
2991
0.9%

CGD MILLAU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct32
Distinct (%)31.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean12.13592233
Minimum0
Maximum183
Zeros39
Zeros (%)36.4%
Memory size984.0 B
2021-03-18T15:59:06.200436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile55.8
Maximum183
Range183
Interquartile range (IQR)11

Descriptive statistics

Standard deviation24.93522925
Coefficient of variation (CV)2.05466289
Kurtosis21.70225295
Mean12.13592233
Median Absolute Deviation (MAD)2
Skewness3.962333653
Sum1250
Variance621.7656577
MonotocityNot monotonic
2021-03-18T15:59:06.294395image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
039
36.4%
28
 
7.5%
18
 
7.5%
46
 
5.6%
35
 
4.7%
114
 
3.7%
63
 
2.8%
473
 
2.8%
172
 
1.9%
82
 
1.9%
Other values (22)23
21.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
039
36.4%
18
 
7.5%
28
 
7.5%
35
 
4.7%
46
 
5.6%
ValueCountFrequency (%)
1831
0.9%
861
0.9%
681
0.9%
651
0.9%
611
0.9%

CGD RODEZ
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean20.00970874
Minimum0
Maximum389
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:06.405262image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q317
95-th percentile81.8
Maximum389
Range389
Interquartile range (IQR)17

Descriptive statistics

Standard deviation46.59472644
Coefficient of variation (CV)2.328605931
Kurtosis38.90750308
Mean20.00970874
Median Absolute Deviation (MAD)3
Skewness5.434946434
Sum2061
Variance2171.068532
MonotocityNot monotonic
2021-03-18T15:59:06.544383image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
035
32.7%
113
 
12.1%
84
 
3.7%
34
 
3.7%
103
 
2.8%
43
 
2.8%
163
 
2.8%
23
 
2.8%
92
 
1.9%
52
 
1.9%
Other values (28)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
113
 
12.1%
23
 
2.8%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
3891
0.9%
1381
0.9%
1281
0.9%
1101
0.9%
1001
0.9%

CGD VILLEFRANCHE DE ROUERGUE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct35
Distinct (%)34.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean16.38834951
Minimum0
Maximum202
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:06.681171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q317.5
95-th percentile66
Maximum202
Range202
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation30.82691497
Coefficient of variation (CV)1.88102621
Kurtosis14.53997653
Mean16.38834951
Median Absolute Deviation (MAD)3
Skewness3.3497104
Sum1688
Variance950.2986865
MonotocityNot monotonic
2021-03-18T15:59:06.771825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
036
33.6%
111
 
10.3%
104
 
3.7%
64
 
3.7%
123
 
2.8%
53
 
2.8%
33
 
2.8%
23
 
2.8%
83
 
2.8%
152
 
1.9%
Other values (25)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
111
 
10.3%
23
 
2.8%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
2021
0.9%
1391
0.9%
1001
0.9%
901
0.9%
671
0.9%

CGD AIX EN PROVENCE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean57.84466019
Minimum0
Maximum620
Zeros22
Zeros (%)20.6%
Memory size984.0 B
2021-03-18T15:59:06.870940image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q337
95-th percentile345.6
Maximum620
Range620
Interquartile range (IQR)36

Descriptive statistics

Standard deviation121.0524726
Coefficient of variation (CV)2.092716462
Kurtosis9.362185092
Mean57.84466019
Median Absolute Deviation (MAD)7
Skewness3.003136712
Sum5958
Variance14653.70112
MonotocityNot monotonic
2021-03-18T15:59:07.001879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
022
20.6%
114
 
13.1%
26
 
5.6%
64
 
3.7%
93
 
2.8%
203
 
2.8%
232
 
1.9%
82
 
1.9%
852
 
1.9%
252
 
1.9%
Other values (39)43
40.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
022
20.6%
114
13.1%
26
 
5.6%
31
 
0.9%
42
 
1.9%
ValueCountFrequency (%)
6201
0.9%
6041
0.9%
4471
0.9%
4311
0.9%
3961
0.9%

CGD ARLES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct50
Distinct (%)48.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean51.38834951
Minimum0
Maximum576
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T15:59:07.399888image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q349
95-th percentile328.9
Maximum576
Range576
Interquartile range (IQR)48

Descriptive statistics

Standard deviation106.0051084
Coefficient of variation (CV)2.06282376
Kurtosis9.502838499
Mean51.38834951
Median Absolute Deviation (MAD)9
Skewness3.039476824
Sum5293
Variance11237.083
MonotocityNot monotonic
2021-03-18T15:59:07.512321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
024
22.4%
110
 
9.3%
26
 
5.6%
43
 
2.8%
73
 
2.8%
33
 
2.8%
192
 
1.9%
172
 
1.9%
202
 
1.9%
112
 
1.9%
Other values (40)46
43.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
110
9.3%
26
 
5.6%
33
 
2.8%
43
 
2.8%
ValueCountFrequency (%)
5761
0.9%
4851
0.9%
3921
0.9%
3511
0.9%
3421
0.9%

CGD AUBAGNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean34.33009709
Minimum0
Maximum403
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T15:59:07.615830image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q321
95-th percentile202.5
Maximum403
Range403
Interquartile range (IQR)21

Descriptive statistics

Standard deviation72.6981927
Coefficient of variation (CV)2.117622695
Kurtosis10.00097051
Mean34.33009709
Median Absolute Deviation (MAD)4
Skewness3.060039307
Sum3536
Variance5285.027223
MonotocityNot monotonic
2021-03-18T15:59:07.715505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
028
26.2%
114
 
13.1%
25
 
4.7%
34
 
3.7%
53
 
2.8%
63
 
2.8%
172
 
1.9%
152
 
1.9%
532
 
1.9%
232
 
1.9%
Other values (32)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
114
13.1%
25
 
4.7%
34
 
3.7%
41
 
0.9%
ValueCountFrequency (%)
4031
0.9%
3341
0.9%
2811
0.9%
2511
0.9%
2151
0.9%

CGD ISTRES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean27.74757282
Minimum0
Maximum344
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:07.816226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324
95-th percentile161.3
Maximum344
Range344
Interquartile range (IQR)24

Descriptive statistics

Standard deviation57.52454181
Coefficient of variation (CV)2.073137791
Kurtosis11.0998668
Mean27.74757282
Median Absolute Deviation (MAD)3
Skewness3.140300642
Sum2858
Variance3309.072911
MonotocityNot monotonic
2021-03-18T15:59:07.908733image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
031
29.0%
111
 
10.3%
28
 
7.5%
63
 
2.8%
33
 
2.8%
132
 
1.9%
72
 
1.9%
192
 
1.9%
402
 
1.9%
52
 
1.9%
Other values (33)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
111
 
10.3%
28
 
7.5%
33
 
2.8%
41
 
0.9%
ValueCountFrequency (%)
3441
0.9%
2411
0.9%
1991
0.9%
1881
0.9%
1791
0.9%

CGD SALON DE PROVENCE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean55.3592233
Minimum0
Maximum609
Zeros20
Zeros (%)18.7%
Memory size984.0 B
2021-03-18T15:59:08.010516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q344
95-th percentile320.8
Maximum609
Range609
Interquartile range (IQR)43

Descriptive statistics

Standard deviation114.7502706
Coefficient of variation (CV)2.072830212
Kurtosis10.7435384
Mean55.3592233
Median Absolute Deviation (MAD)8
Skewness3.165629789
Sum5702
Variance13167.6246
MonotocityNot monotonic
2021-03-18T15:59:08.104724image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
020
18.7%
211
 
10.3%
19
 
8.4%
35
 
4.7%
43
 
2.8%
613
 
2.8%
132
 
1.9%
242
 
1.9%
142
 
1.9%
232
 
1.9%
Other values (39)44
41.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
020
18.7%
19
8.4%
211
10.3%
35
 
4.7%
43
 
2.8%
ValueCountFrequency (%)
6091
0.9%
5921
0.9%
4731
0.9%
3461
0.9%
3411
0.9%

CGD BAYEUX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean21.51456311
Minimum0
Maximum260
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:08.198818image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q321.5
95-th percentile105.1
Maximum260
Range260
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation42.13048453
Coefficient of variation (CV)1.958231005
Kurtosis12.37054281
Mean21.51456311
Median Absolute Deviation (MAD)4
Skewness3.24586632
Sum2216
Variance1774.977727
MonotocityNot monotonic
2021-03-18T15:59:08.292774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
034
31.8%
36
 
5.6%
16
 
5.6%
25
 
4.7%
134
 
3.7%
53
 
2.8%
43
 
2.8%
213
 
2.8%
102
 
1.9%
62
 
1.9%
Other values (30)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
16
 
5.6%
25
 
4.7%
36
 
5.6%
43
 
2.8%
ValueCountFrequency (%)
2601
0.9%
1781
0.9%
1581
0.9%
1521
0.9%
1171
0.9%

CGD CAEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean28.25242718
Minimum0
Maximum322
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:08.388389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q325
95-th percentile158.2
Maximum322
Range322
Interquartile range (IQR)25

Descriptive statistics

Standard deviation54.04531839
Coefficient of variation (CV)1.912944259
Kurtosis10.58835308
Mean28.25242718
Median Absolute Deviation (MAD)5
Skewness3.049473816
Sum2910
Variance2920.89644
MonotocityNot monotonic
2021-03-18T15:59:08.482189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
033
30.8%
46
 
5.6%
34
 
3.7%
24
 
3.7%
113
 
2.8%
63
 
2.8%
13
 
2.8%
192
 
1.9%
222
 
1.9%
242
 
1.9%
Other values (38)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
13
 
2.8%
24
 
3.7%
34
 
3.7%
46
 
5.6%
ValueCountFrequency (%)
3221
0.9%
2111
0.9%
2011
0.9%
1931
0.9%
1761
0.9%

CGD DEAUVILLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct31
Distinct (%)30.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean11.7961165
Minimum0
Maximum156
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:08.573953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile59.9
Maximum156
Range156
Interquartile range (IQR)10

Descriptive statistics

Standard deviation23.93879419
Coefficient of variation (CV)2.02937926
Kurtosis14.52193406
Mean11.7961165
Median Absolute Deviation (MAD)2
Skewness3.464688968
Sum1215
Variance573.0658671
MonotocityNot monotonic
2021-03-18T15:59:08.658566image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
034
31.8%
110
 
9.3%
29
 
8.4%
75
 
4.7%
65
 
4.7%
54
 
3.7%
43
 
2.8%
133
 
2.8%
103
 
2.8%
32
 
1.9%
Other values (21)25
23.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
110
 
9.3%
29
 
8.4%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
1561
0.9%
911
0.9%
871
0.9%
801
0.9%
751
0.9%

CGD FALAISE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)37.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean19.40776699
Minimum0
Maximum236
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T15:59:08.750881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q317
95-th percentile89.8
Maximum236
Range236
Interquartile range (IQR)17

Descriptive statistics

Standard deviation37.56443794
Coefficient of variation (CV)1.935536322
Kurtosis13.2119618
Mean19.40776699
Median Absolute Deviation (MAD)4
Skewness3.289687456
Sum1999
Variance1411.086998
MonotocityNot monotonic
2021-03-18T15:59:08.840089image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
032
29.9%
111
 
10.3%
25
 
4.7%
45
 
4.7%
33
 
2.8%
63
 
2.8%
93
 
2.8%
173
 
2.8%
332
 
1.9%
132
 
1.9%
Other values (29)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
111
 
10.3%
25
 
4.7%
33
 
2.8%
45
 
4.7%
ValueCountFrequency (%)
2361
0.9%
1751
0.9%
1301
0.9%
1081
0.9%
931
0.9%

CGD LISIEUX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct33
Distinct (%)32.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean11.24271845
Minimum0
Maximum127
Zeros42
Zeros (%)39.3%
Memory size984.0 B
2021-03-18T15:59:08.924422image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q312
95-th percentile58
Maximum127
Range127
Interquartile range (IQR)12

Descriptive statistics

Standard deviation21.58179426
Coefficient of variation (CV)1.919624187
Kurtosis11.78415726
Mean11.24271845
Median Absolute Deviation (MAD)2
Skewness3.164414583
Sum1158
Variance465.7738435
MonotocityNot monotonic
2021-03-18T15:59:09.014519image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
042
39.3%
29
 
8.4%
18
 
7.5%
66
 
5.6%
123
 
2.8%
42
 
1.9%
102
 
1.9%
142
 
1.9%
92
 
1.9%
252
 
1.9%
Other values (23)25
23.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
042
39.3%
18
 
7.5%
29
 
8.4%
42
 
1.9%
51
 
0.9%
ValueCountFrequency (%)
1271
0.9%
1091
0.9%
731
0.9%
641
0.9%
621
0.9%

CGD VIRE NORMANDIE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)35.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean14.61165049
Minimum0
Maximum196
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:09.105625image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q316
95-th percentile61.5
Maximum196
Range196
Interquartile range (IQR)16

Descriptive statistics

Standard deviation28.90662215
Coefficient of variation (CV)1.978326964
Kurtosis19.55349105
Mean14.61165049
Median Absolute Deviation (MAD)3
Skewness3.955081245
Sum1505
Variance835.5928041
MonotocityNot monotonic
2021-03-18T15:59:09.196130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
038
35.5%
16
 
5.6%
25
 
4.7%
54
 
3.7%
44
 
3.7%
34
 
3.7%
133
 
2.8%
263
 
2.8%
143
 
2.8%
322
 
1.9%
Other values (26)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
16
 
5.6%
25
 
4.7%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
1961
0.9%
1541
0.9%
871
0.9%
751
0.9%
622
1.9%

CGD AURILLAC
Real number (ℝ≥0)

MISSING
ZEROS

Distinct30
Distinct (%)29.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean10.54368932
Minimum0
Maximum125
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:09.285607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile45
Maximum125
Range125
Interquartile range (IQR)11

Descriptive statistics

Standard deviation20.93349727
Coefficient of variation (CV)1.985405358
Kurtosis13.49413368
Mean10.54368932
Median Absolute Deviation (MAD)2
Skewness3.41205081
Sum1086
Variance438.2113078
MonotocityNot monotonic
2021-03-18T15:59:09.373556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
038
35.5%
18
 
7.5%
26
 
5.6%
46
 
5.6%
36
 
5.6%
75
 
4.7%
53
 
2.8%
113
 
2.8%
322
 
1.9%
452
 
1.9%
Other values (20)24
22.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
18
 
7.5%
26
 
5.6%
36
 
5.6%
46
 
5.6%
ValueCountFrequency (%)
1251
0.9%
1091
0.9%
811
0.9%
591
0.9%
581
0.9%

CGD MAURIAC
Real number (ℝ≥0)

MISSING
ZEROS

Distinct28
Distinct (%)27.2%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean6.067961165
Minimum0
Maximum84
Zeros46
Zeros (%)43.0%
Memory size984.0 B
2021-03-18T15:59:09.459861image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile27.9
Maximum84
Range84
Interquartile range (IQR)6

Descriptive statistics

Standard deviation12.24365553
Coefficient of variation (CV)2.017754431
Kurtosis17.18593448
Mean6.067961165
Median Absolute Deviation (MAD)1
Skewness3.620608586
Sum625
Variance149.9071007
MonotocityNot monotonic
2021-03-18T15:59:09.538174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
046
43.0%
114
 
13.1%
26
 
5.6%
44
 
3.7%
53
 
2.8%
63
 
2.8%
282
 
1.9%
112
 
1.9%
32
 
1.9%
102
 
1.9%
Other values (18)19
17.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
046
43.0%
114
 
13.1%
26
 
5.6%
32
 
1.9%
44
 
3.7%
ValueCountFrequency (%)
841
0.9%
501
0.9%
401
0.9%
361
0.9%
282
1.9%

CGD ST FLOUR
Real number (ℝ≥0)

MISSING
ZEROS

Distinct24
Distinct (%)23.3%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean8.611650485
Minimum0
Maximum139
Zeros42
Zeros (%)39.3%
Memory size984.0 B
2021-03-18T15:59:09.614858image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile37.8
Maximum139
Range139
Interquartile range (IQR)6

Descriptive statistics

Standard deviation19.73413138
Coefficient of variation (CV)2.291562043
Kurtosis21.23154052
Mean8.611650485
Median Absolute Deviation (MAD)1
Skewness4.183962199
Sum887
Variance389.4359414
MonotocityNot monotonic
2021-03-18T15:59:09.691837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
042
39.3%
110
 
9.3%
38
 
7.5%
67
 
6.5%
45
 
4.7%
54
 
3.7%
24
 
3.7%
123
 
2.8%
232
 
1.9%
152
 
1.9%
Other values (14)16
 
15.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
042
39.3%
110
 
9.3%
24
 
3.7%
38
 
7.5%
45
 
4.7%
ValueCountFrequency (%)
1391
0.9%
831
0.9%
731
0.9%
701
0.9%
431
0.9%

CGD ANGOULEME
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.99029126
Minimum0
Maximum416
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:09.788352image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q325
95-th percentile112.5
Maximum416
Range416
Interquartile range (IQR)25

Descriptive statistics

Standard deviation53.81240019
Coefficient of variation (CV)2.243090741
Kurtosis28.22653498
Mean23.99029126
Median Absolute Deviation (MAD)2
Skewness4.626575481
Sum2471
Variance2895.774415
MonotocityNot monotonic
2021-03-18T15:59:09.875995image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
034
31.8%
112
 
11.2%
27
 
6.5%
105
 
4.7%
113
 
2.8%
153
 
2.8%
422
 
1.9%
302
 
1.9%
312
 
1.9%
42
 
1.9%
Other values (30)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
112
 
11.2%
27
 
6.5%
42
 
1.9%
51
 
0.9%
ValueCountFrequency (%)
4161
0.9%
1741
0.9%
1731
0.9%
1491
0.9%
1451
0.9%

CGD COGNAC
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean19.59223301
Minimum0
Maximum293
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:09.966633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q318
95-th percentile99.9
Maximum293
Range293
Interquartile range (IQR)18

Descriptive statistics

Standard deviation40.24153471
Coefficient of variation (CV)2.053953456
Kurtosis21.36342949
Mean19.59223301
Median Absolute Deviation (MAD)2
Skewness3.986696336
Sum2018
Variance1619.381116
MonotocityNot monotonic
2021-03-18T15:59:10.056803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
038
35.5%
18
 
7.5%
26
 
5.6%
84
 
3.7%
182
 
1.9%
142
 
1.9%
62
 
1.9%
112
 
1.9%
52
 
1.9%
92
 
1.9%
Other values (32)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
18
 
7.5%
26
 
5.6%
31
 
0.9%
41
 
0.9%
ValueCountFrequency (%)
2931
0.9%
1361
0.9%
1351
0.9%
1081
0.9%
1031
0.9%

CGD CONFOLENS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.15533981
Minimum0
Maximum339
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:10.151558image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q326
95-th percentile106.3
Maximum339
Range339
Interquartile range (IQR)26

Descriptive statistics

Standard deviation48.27124287
Coefficient of variation (CV)2.084670027
Kurtosis20.27878354
Mean23.15533981
Median Absolute Deviation (MAD)3
Skewness3.994740403
Sum2385
Variance2330.112888
MonotocityNot monotonic
2021-03-18T15:59:10.242522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
035
32.7%
28
 
7.5%
18
 
7.5%
123
 
2.8%
53
 
2.8%
142
 
1.9%
542
 
1.9%
172
 
1.9%
402
 
1.9%
152
 
1.9%
Other values (31)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
18
 
7.5%
28
 
7.5%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
3391
0.9%
2231
0.9%
1611
0.9%
1161
0.9%
1151
0.9%

CGD JONZAC
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.63106796
Minimum0
Maximum214
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:10.340560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q322
95-th percentile122.9
Maximum214
Range214
Interquartile range (IQR)22

Descriptive statistics

Standard deviation43.21287714
Coefficient of variation (CV)1.828646814
Kurtosis6.151280321
Mean23.63106796
Median Absolute Deviation (MAD)3
Skewness2.490566172
Sum2434
Variance1867.352751
MonotocityNot monotonic
2021-03-18T15:59:10.435598image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
027
25.2%
115
14.0%
28
 
7.5%
34
 
3.7%
44
 
3.7%
133
 
2.8%
162
 
1.9%
112
 
1.9%
212
 
1.9%
232
 
1.9%
Other values (32)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
115
14.0%
28
 
7.5%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
2141
0.9%
1841
0.9%
1711
0.9%
1461
0.9%
1311
0.9%

CGD LA ROCHELLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)45.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean41.06796117
Minimum0
Maximum508
Zeros26
Zeros (%)24.3%
Memory size984.0 B
2021-03-18T15:59:10.527747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median5
Q333.5
95-th percentile237
Maximum508
Range508
Interquartile range (IQR)33

Descriptive statistics

Standard deviation85.34661303
Coefficient of variation (CV)2.078179939
Kurtosis12.3888357
Mean41.06796117
Median Absolute Deviation (MAD)5
Skewness3.302207728
Sum4230
Variance7284.044356
MonotocityNot monotonic
2021-03-18T15:59:10.997056image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
026
24.3%
114
 
13.1%
45
 
4.7%
24
 
3.7%
183
 
2.8%
193
 
2.8%
53
 
2.8%
83
 
2.8%
422
 
1.9%
72
 
1.9%
Other values (37)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
026
24.3%
114
13.1%
24
 
3.7%
31
 
0.9%
45
 
4.7%
ValueCountFrequency (%)
5081
0.9%
4101
0.9%
3251
0.9%
2511
0.9%
2421
0.9%

CGD ROCHEFORT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct53
Distinct (%)51.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean47.47572816
Minimum0
Maximum432
Zeros25
Zeros (%)23.4%
Memory size984.0 B
2021-03-18T15:59:11.101234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q339.5
95-th percentile232.2
Maximum432
Range432
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation89.528377
Coefficient of variation (CV)1.88577154
Kurtosis7.218362665
Mean47.47572816
Median Absolute Deviation (MAD)8
Skewness2.6702601
Sum4890
Variance8015.330287
MonotocityNot monotonic
2021-03-18T15:59:11.197067image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
025
23.4%
19
 
8.4%
46
 
5.6%
25
 
4.7%
253
 
2.8%
33
 
2.8%
282
 
1.9%
232
 
1.9%
472
 
1.9%
82
 
1.9%
Other values (43)44
41.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
025
23.4%
19
 
8.4%
25
 
4.7%
33
 
2.8%
46
 
5.6%
ValueCountFrequency (%)
4321
0.9%
4241
0.9%
3671
0.9%
3131
0.9%
2611
0.9%

CGD SAINTES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean25.03883495
Minimum0
Maximum318
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:11.290817image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q320
95-th percentile118.1
Maximum318
Range318
Interquartile range (IQR)20

Descriptive statistics

Standard deviation52.37008619
Coefficient of variation (CV)2.091554431
Kurtosis13.33500966
Mean25.03883495
Median Absolute Deviation (MAD)3
Skewness3.412202498
Sum2579
Variance2742.625928
MonotocityNot monotonic
2021-03-18T15:59:11.381726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
031
29.0%
113
 
12.1%
34
 
3.7%
24
 
3.7%
63
 
2.8%
93
 
2.8%
173
 
2.8%
43
 
2.8%
203
 
2.8%
112
 
1.9%
Other values (30)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
113
12.1%
24
 
3.7%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
3181
0.9%
2371
0.9%
2291
0.9%
1701
0.9%
1291
0.9%

CGD ST JEAN D ANGELY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean17.53398058
Minimum0
Maximum147
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:11.475230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q316.5
95-th percentile90.2
Maximum147
Range147
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation30.65680219
Coefficient of variation (CV)1.748422273
Kurtosis5.351144289
Mean17.53398058
Median Absolute Deviation (MAD)5
Skewness2.366864825
Sum1806
Variance939.8395203
MonotocityNot monotonic
2021-03-18T15:59:11.563345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
034
31.8%
112
 
11.2%
76
 
5.6%
55
 
4.7%
63
 
2.8%
43
 
2.8%
123
 
2.8%
142
 
1.9%
82
 
1.9%
112
 
1.9%
Other values (30)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
112
 
11.2%
31
 
0.9%
43
 
2.8%
55
 
4.7%
ValueCountFrequency (%)
1471
0.9%
1311
0.9%
1151
0.9%
1041
0.9%
941
0.9%

CGD BOURGES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean16.24271845
Minimum0
Maximum203
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:11.656990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q317.5
95-th percentile77
Maximum203
Range203
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation31.7445274
Coefficient of variation (CV)1.95438513
Kurtosis13.28125035
Mean16.24271845
Median Absolute Deviation (MAD)2
Skewness3.27640949
Sum1673
Variance1007.71502
MonotocityNot monotonic
2021-03-18T15:59:11.748311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
035
32.7%
112
 
11.2%
28
 
7.5%
184
 
3.7%
84
 
3.7%
63
 
2.8%
33
 
2.8%
172
 
1.9%
42
 
1.9%
552
 
1.9%
Other values (27)28
26.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
112
 
11.2%
28
 
7.5%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
2031
0.9%
1221
0.9%
1171
0.9%
1131
0.9%
921
0.9%

CGD ST AMAND MONTROND
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean20.57281553
Minimum0
Maximum215
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:11.848127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q321.5
95-th percentile96.2
Maximum215
Range215
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation38.98984331
Coefficient of variation (CV)1.895211827
Kurtosis9.537157131
Mean20.57281553
Median Absolute Deviation (MAD)2
Skewness2.875503768
Sum2119
Variance1520.207881
MonotocityNot monotonic
2021-03-18T15:59:11.937605image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
037
34.6%
114
 
13.1%
25
 
4.7%
502
 
1.9%
252
 
1.9%
52
 
1.9%
102
 
1.9%
132
 
1.9%
42
 
1.9%
62
 
1.9%
Other values (33)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
114
 
13.1%
25
 
4.7%
31
 
0.9%
42
 
1.9%
ValueCountFrequency (%)
2151
0.9%
1921
0.9%
1531
0.9%
1071
0.9%
981
0.9%

CGD VIERZON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)33.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean15.02912621
Minimum0
Maximum200
Zeros39
Zeros (%)36.4%
Memory size984.0 B
2021-03-18T15:59:12.027105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q313.5
95-th percentile78.3
Maximum200
Range200
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation30.8311201
Coefficient of variation (CV)2.051424658
Kurtosis14.24574849
Mean15.02912621
Median Absolute Deviation (MAD)1
Skewness3.386443816
Sum1548
Variance950.5579669
MonotocityNot monotonic
2021-03-18T15:59:12.116388image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
039
36.4%
113
 
12.1%
25
 
4.7%
83
 
2.8%
93
 
2.8%
33
 
2.8%
72
 
1.9%
42
 
1.9%
52
 
1.9%
622
 
1.9%
Other values (24)29
27.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
039
36.4%
113
 
12.1%
25
 
4.7%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
2001
0.9%
1291
0.9%
1061
0.9%
882
1.9%
801
0.9%

CGD BRIVE LA GAILLARDE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean25.2815534
Minimum0
Maximum412
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:12.214453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q326.5
95-th percentile121.5
Maximum412
Range412
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation53.52815229
Coefficient of variation (CV)2.117280985
Kurtosis27.11404616
Mean25.2815534
Median Absolute Deviation (MAD)5
Skewness4.479145778
Sum2604
Variance2865.263088
MonotocityNot monotonic
2021-03-18T15:59:12.304193image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
036
33.6%
16
 
5.6%
34
 
3.7%
54
 
3.7%
123
 
2.8%
23
 
2.8%
93
 
2.8%
142
 
1.9%
42
 
1.9%
482
 
1.9%
Other values (33)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
16
 
5.6%
23
 
2.8%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
4121
0.9%
1921
0.9%
1401
0.9%
1331
0.9%
1291
0.9%

CGD USSEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)33.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean12
Minimum0
Maximum216
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:12.394032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile51.5
Maximum216
Range216
Interquartile range (IQR)10

Descriptive statistics

Standard deviation27.04136265
Coefficient of variation (CV)2.253446888
Kurtosis32.80633438
Mean12
Median Absolute Deviation (MAD)2
Skewness5.024631525
Sum1236
Variance731.2352941
MonotocityNot monotonic
2021-03-18T15:59:12.476875image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
037
34.6%
112
 
11.2%
25
 
4.7%
75
 
4.7%
34
 
3.7%
94
 
3.7%
103
 
2.8%
43
 
2.8%
82
 
1.9%
122
 
1.9%
Other values (24)26
24.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
112
 
11.2%
25
 
4.7%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
2161
0.9%
1051
0.9%
771
0.9%
701
0.9%
531
0.9%

CGD BEAUNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean19.49514563
Minimum0
Maximum224
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T15:59:12.565503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q316.5
95-th percentile95.9
Maximum224
Range224
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation37.83604304
Coefficient of variation (CV)1.940793044
Kurtosis11.19566192
Mean19.49514563
Median Absolute Deviation (MAD)4
Skewness3.101691068
Sum2008
Variance1431.566153
MonotocityNot monotonic
2021-03-18T15:59:12.650125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
032
29.9%
29
 
8.4%
16
 
5.6%
65
 
4.7%
44
 
3.7%
34
 
3.7%
133
 
2.8%
93
 
2.8%
103
 
2.8%
952
 
1.9%
Other values (28)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
16
 
5.6%
29
 
8.4%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
2241
0.9%
1821
0.9%
1261
0.9%
1091
0.9%
1001
0.9%

CGD DIJON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean34.6407767
Minimum0
Maximum434
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:12.740775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q324
95-th percentile148
Maximum434
Range434
Interquartile range (IQR)24

Descriptive statistics

Standard deviation70.03680466
Coefficient of variation (CV)2.021802377
Kurtosis11.96408364
Mean34.6407767
Median Absolute Deviation (MAD)7
Skewness3.165038398
Sum3568
Variance4905.154007
MonotocityNot monotonic
2021-03-18T15:59:12.830028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
031
29.0%
19
 
8.4%
75
 
4.7%
54
 
3.7%
154
 
3.7%
93
 
2.8%
23
 
2.8%
232
 
1.9%
1482
 
1.9%
112
 
1.9%
Other values (31)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
19
 
8.4%
23
 
2.8%
42
 
1.9%
54
 
3.7%
ValueCountFrequency (%)
4341
0.9%
2671
0.9%
2531
0.9%
2382
1.9%
1482
1.9%

CGD IS SUR TILLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct32
Distinct (%)31.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean13.49514563
Minimum0
Maximum210
Zeros41
Zeros (%)38.3%
Memory size984.0 B
2021-03-18T15:59:12.918207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310
95-th percentile69.6
Maximum210
Range210
Interquartile range (IQR)10

Descriptive statistics

Standard deviation29.81343091
Coefficient of variation (CV)2.209196679
Kurtosis19.99228176
Mean13.49514563
Median Absolute Deviation (MAD)1
Skewness3.971682626
Sum1390
Variance888.8406625
MonotocityNot monotonic
2021-03-18T15:59:13.000782image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
041
38.3%
111
 
10.3%
45
 
4.7%
85
 
4.7%
65
 
4.7%
23
 
2.8%
103
 
2.8%
53
 
2.8%
252
 
1.9%
32
 
1.9%
Other values (22)23
21.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
041
38.3%
111
 
10.3%
23
 
2.8%
32
 
1.9%
45
 
4.7%
ValueCountFrequency (%)
2101
0.9%
1142
1.9%
771
0.9%
751
0.9%
701
0.9%

CGD MONTBARD
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean19.16504854
Minimum0
Maximum211
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:13.090942image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q317.5
95-th percentile95.8
Maximum211
Range211
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation38.53902964
Coefficient of variation (CV)2.010901749
Kurtosis11.30455021
Mean19.16504854
Median Absolute Deviation (MAD)3
Skewness3.22862411
Sum1974
Variance1485.256806
MonotocityNot monotonic
2021-03-18T15:59:13.178039image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
038
35.5%
36
 
5.6%
74
 
3.7%
14
 
3.7%
24
 
3.7%
83
 
2.8%
113
 
2.8%
52
 
1.9%
272
 
1.9%
942
 
1.9%
Other values (31)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
14
 
3.7%
24
 
3.7%
36
 
5.6%
41
 
0.9%
ValueCountFrequency (%)
2111
0.9%
1991
0.9%
1561
0.9%
1281
0.9%
1021
0.9%

CGD DINAN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean35.40776699
Minimum0
Maximum494
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:13.266946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q324
95-th percentile208.9
Maximum494
Range494
Interquartile range (IQR)24

Descriptive statistics

Standard deviation74.43689746
Coefficient of variation (CV)2.102275963
Kurtosis15.83451252
Mean35.40776699
Median Absolute Deviation (MAD)5
Skewness3.576221721
Sum3647
Variance5540.851704
MonotocityNot monotonic
2021-03-18T15:59:13.364347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
033
30.8%
27
 
6.5%
15
 
4.7%
75
 
4.7%
204
 
3.7%
34
 
3.7%
53
 
2.8%
182
 
1.9%
852
 
1.9%
212
 
1.9%
Other values (34)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
15
 
4.7%
27
 
6.5%
34
 
3.7%
41
 
0.9%
ValueCountFrequency (%)
4941
0.9%
3151
0.9%
2361
0.9%
2201
0.9%
2171
0.9%

CGD GUINGAMP
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean25.7184466
Minimum0
Maximum329
Zeros30
Zeros (%)28.0%
Memory size984.0 B
2021-03-18T15:59:13.458169image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q326
95-th percentile130.8
Maximum329
Range329
Interquartile range (IQR)26

Descriptive statistics

Standard deviation52.04832172
Coefficient of variation (CV)2.023773929
Kurtosis14.04506166
Mean25.7184466
Median Absolute Deviation (MAD)4
Skewness3.411009232
Sum2649
Variance2709.027794
MonotocityNot monotonic
2021-03-18T15:59:13.549119image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
030
28.0%
112
 
11.2%
47
 
6.5%
24
 
3.7%
124
 
3.7%
283
 
2.8%
113
 
2.8%
33
 
2.8%
82
 
1.9%
132
 
1.9%
Other values (32)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
030
28.0%
112
 
11.2%
24
 
3.7%
33
 
2.8%
47
 
6.5%
ValueCountFrequency (%)
3291
0.9%
2491
0.9%
1621
0.9%
1521
0.9%
1441
0.9%

CGD LANNION
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean24.84466019
Minimum0
Maximum348
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:13.644536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q325
95-th percentile103.5
Maximum348
Range348
Interquartile range (IQR)25

Descriptive statistics

Standard deviation51.25422169
Coefficient of variation (CV)2.06298743
Kurtosis18.63251942
Mean24.84466019
Median Absolute Deviation (MAD)3
Skewness3.881092621
Sum2559
Variance2626.995241
MonotocityNot monotonic
2021-03-18T15:59:13.735893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
027
25.2%
114
 
13.1%
28
 
7.5%
34
 
3.7%
43
 
2.8%
152
 
1.9%
132
 
1.9%
122
 
1.9%
252
 
1.9%
922
 
1.9%
Other values (33)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
114
13.1%
28
 
7.5%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
3481
0.9%
2491
0.9%
1821
0.9%
1341
0.9%
1201
0.9%

CGD ST BRIEUC
Real number (ℝ≥0)

MISSING
ZEROS

Distinct51
Distinct (%)49.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean52.26213592
Minimum0
Maximum641
Zeros25
Zeros (%)23.4%
Memory size984.0 B
2021-03-18T15:59:13.839607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q343
95-th percentile266.3
Maximum641
Range641
Interquartile range (IQR)42

Descriptive statistics

Standard deviation102.6477855
Coefficient of variation (CV)1.964094725
Kurtosis12.93208672
Mean52.26213592
Median Absolute Deviation (MAD)9
Skewness3.285662283
Sum5383
Variance10536.56787
MonotocityNot monotonic
2021-03-18T15:59:13.934393image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
025
23.4%
18
 
7.5%
26
 
5.6%
93
 
2.8%
83
 
2.8%
333
 
2.8%
33
 
2.8%
242
 
1.9%
432
 
1.9%
262
 
1.9%
Other values (41)46
43.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
025
23.4%
18
 
7.5%
26
 
5.6%
33
 
2.8%
41
 
0.9%
ValueCountFrequency (%)
6411
0.9%
4651
0.9%
3641
0.9%
3131
0.9%
2751
0.9%

CGD AUBUSSON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct28
Distinct (%)27.2%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean10.22330097
Minimum0
Maximum150
Zeros39
Zeros (%)36.4%
Memory size984.0 B
2021-03-18T15:59:14.024867image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile47
Maximum150
Range150
Interquartile range (IQR)10

Descriptive statistics

Standard deviation21.00976992
Coefficient of variation (CV)2.055086706
Kurtosis20.43949041
Mean10.22330097
Median Absolute Deviation (MAD)2
Skewness3.993554452
Sum1053
Variance441.4104321
MonotocityNot monotonic
2021-03-18T15:59:14.106689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
039
36.4%
110
 
9.3%
106
 
5.6%
96
 
5.6%
25
 
4.7%
64
 
3.7%
73
 
2.8%
53
 
2.8%
43
 
2.8%
242
 
1.9%
Other values (18)22
20.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
039
36.4%
110
 
9.3%
25
 
4.7%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
1501
0.9%
752
1.9%
681
0.9%
641
0.9%
481
0.9%

CGD GUERET
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)35.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean17.08737864
Minimum0
Maximum196
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:14.197753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q318.5
95-th percentile76.3
Maximum196
Range196
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation32.52573846
Coefficient of variation (CV)1.903494922
Kurtosis11.75818892
Mean17.08737864
Median Absolute Deviation (MAD)3
Skewness3.177737596
Sum1760
Variance1057.923663
MonotocityNot monotonic
2021-03-18T15:59:14.288268image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
034
31.8%
112
 
11.2%
25
 
4.7%
115
 
4.7%
45
 
4.7%
133
 
2.8%
53
 
2.8%
512
 
1.9%
222
 
1.9%
102
 
1.9%
Other values (26)30
28.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
112
 
11.2%
25
 
4.7%
31
 
0.9%
45
 
4.7%
ValueCountFrequency (%)
1961
0.9%
1461
0.9%
1231
0.9%
1121
0.9%
1041
0.9%

CGD BERGERAC
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean16.7961165
Minimum0
Maximum233
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:14.384381image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q313.5
95-th percentile77.5
Maximum233
Range233
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation34.73269331
Coefficient of variation (CV)2.067900238
Kurtosis16.81688638
Mean16.7961165
Median Absolute Deviation (MAD)3
Skewness3.699164311
Sum1730
Variance1206.359985
MonotocityNot monotonic
2021-03-18T15:59:14.471747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
036
33.6%
28
 
7.5%
17
 
6.5%
126
 
5.6%
74
 
3.7%
33
 
2.8%
83
 
2.8%
103
 
2.8%
152
 
1.9%
442
 
1.9%
Other values (27)29
27.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
17
 
6.5%
28
 
7.5%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
2331
0.9%
1451
0.9%
1261
0.9%
1241
0.9%
811
0.9%

CGD NONTRON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean19.27184466
Minimum0
Maximum258
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:14.557399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q318.5
95-th percentile82
Maximum258
Range258
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation38.9932609
Coefficient of variation (CV)2.023327896
Kurtosis16.10313435
Mean19.27184466
Median Absolute Deviation (MAD)2
Skewness3.597102507
Sum1985
Variance1520.474396
MonotocityNot monotonic
2021-03-18T15:59:14.649968image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
038
35.5%
18
 
7.5%
26
 
5.6%
85
 
4.7%
43
 
2.8%
243
 
2.8%
112
 
1.9%
92
 
1.9%
142
 
1.9%
822
 
1.9%
Other values (27)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
18
 
7.5%
26
 
5.6%
43
 
2.8%
52
 
1.9%
ValueCountFrequency (%)
2581
0.9%
1751
0.9%
1481
0.9%
1031
0.9%
1001
0.9%

CGD PERIGUEUX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.27184466
Minimum0
Maximum299
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:14.740698image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q321
95-th percentile107.6
Maximum299
Range299
Interquartile range (IQR)21

Descriptive statistics

Standard deviation45.73585588
Coefficient of variation (CV)1.96528709
Kurtosis15.03393237
Mean23.27184466
Median Absolute Deviation (MAD)4
Skewness3.497099867
Sum2397
Variance2091.768513
MonotocityNot monotonic
2021-03-18T15:59:14.829938image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
034
31.8%
18
 
7.5%
26
 
5.6%
214
 
3.7%
123
 
2.8%
33
 
2.8%
153
 
2.8%
142
 
1.9%
412
 
1.9%
192
 
1.9%
Other values (30)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
18
 
7.5%
26
 
5.6%
33
 
2.8%
41
 
0.9%
ValueCountFrequency (%)
2991
0.9%
1871
0.9%
1761
0.9%
1641
0.9%
1131
0.9%

CGD SARLAT LA CANEDA
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean19.12621359
Minimum0
Maximum344
Zeros41
Zeros (%)38.3%
Memory size984.0 B
2021-03-18T15:59:15.389784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q315
95-th percentile83.7
Maximum344
Range344
Interquartile range (IQR)15

Descriptive statistics

Standard deviation44.82223704
Coefficient of variation (CV)2.343497673
Kurtosis28.38653691
Mean19.12621359
Median Absolute Deviation (MAD)3
Skewness4.722058778
Sum1970
Variance2009.032934
MonotocityNot monotonic
2021-03-18T15:59:15.488158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
041
38.3%
15
 
4.7%
25
 
4.7%
74
 
3.7%
133
 
2.8%
63
 
2.8%
113
 
2.8%
93
 
2.8%
153
 
2.8%
32
 
1.9%
Other values (27)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
041
38.3%
15
 
4.7%
25
 
4.7%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
3441
0.9%
1681
0.9%
1511
0.9%
1281
0.9%
1191
0.9%

CGD BESANCON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean32.95145631
Minimum0
Maximum402
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T15:59:15.589878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q330
95-th percentile140.5
Maximum402
Range402
Interquartile range (IQR)29

Descriptive statistics

Standard deviation61.6480171
Coefficient of variation (CV)1.870873825
Kurtosis13.44564382
Mean32.95145631
Median Absolute Deviation (MAD)5
Skewness3.229001771
Sum3394
Variance3800.478013
MonotocityNot monotonic
2021-03-18T15:59:15.689398image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
024
22.4%
29
 
8.4%
18
 
7.5%
47
 
6.5%
152
 
1.9%
82
 
1.9%
262
 
1.9%
552
 
1.9%
142
 
1.9%
182
 
1.9%
Other values (39)43
40.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
18
 
7.5%
29
 
8.4%
32
 
1.9%
47
 
6.5%
ValueCountFrequency (%)
4021
0.9%
2481
0.9%
1921
0.9%
1841
0.9%
1751
0.9%

CGD MONTBELIARD
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean34.98058252
Minimum0
Maximum487
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T15:59:15.791327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q331
95-th percentile185.1
Maximum487
Range487
Interquartile range (IQR)30

Descriptive statistics

Standard deviation73.3872325
Coefficient of variation (CV)2.097941978
Kurtosis16.73563264
Mean34.98058252
Median Absolute Deviation (MAD)7
Skewness3.710226286
Sum3603
Variance5385.685894
MonotocityNot monotonic
2021-03-18T15:59:15.891554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
024
22.4%
111
 
10.3%
44
 
3.7%
24
 
3.7%
54
 
3.7%
164
 
3.7%
33
 
2.8%
113
 
2.8%
202
 
1.9%
92
 
1.9%
Other values (39)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
111
10.3%
24
 
3.7%
33
 
2.8%
44
 
3.7%
ValueCountFrequency (%)
4871
0.9%
3461
0.9%
2241
0.9%
2051
0.9%
1971
0.9%

CGD PONTARLIER
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)37.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.18446602
Minimum0
Maximum363
Zeros42
Zeros (%)39.3%
Memory size984.0 B
2021-03-18T15:59:15.986141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q320
95-th percentile107.6
Maximum363
Range363
Interquartile range (IQR)20

Descriptive statistics

Standard deviation49.87469545
Coefficient of variation (CV)2.151211739
Kurtosis22.47223447
Mean23.18446602
Median Absolute Deviation (MAD)3
Skewness4.166594758
Sum2388
Variance2487.485247
MonotocityNot monotonic
2021-03-18T15:59:16.075859image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
042
39.3%
14
 
3.7%
84
 
3.7%
23
 
2.8%
203
 
2.8%
193
 
2.8%
43
 
2.8%
33
 
2.8%
242
 
1.9%
282
 
1.9%
Other values (29)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
042
39.3%
14
 
3.7%
23
 
2.8%
33
 
2.8%
43
 
2.8%
ValueCountFrequency (%)
3631
0.9%
2081
0.9%
1471
0.9%
1431
0.9%
1211
0.9%

CGD CREST
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)44.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean34.94174757
Minimum0
Maximum340
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:16.173928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q330
95-th percentile201.1
Maximum340
Range340
Interquartile range (IQR)30

Descriptive statistics

Standard deviation67.20174852
Coefficient of variation (CV)1.92325093
Kurtosis7.050140012
Mean34.94174757
Median Absolute Deviation (MAD)5
Skewness2.675944165
Sum3599
Variance4516.075005
MonotocityNot monotonic
2021-03-18T15:59:16.267890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
027
25.2%
111
 
10.3%
27
 
6.5%
173
 
2.8%
153
 
2.8%
33
 
2.8%
53
 
2.8%
123
 
2.8%
92
 
1.9%
202
 
1.9%
Other values (36)39
36.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
111
10.3%
27
 
6.5%
33
 
2.8%
41
 
0.9%
ValueCountFrequency (%)
3401
0.9%
2821
0.9%
2751
0.9%
2111
0.9%
2081
0.9%

CGD NYONS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct32
Distinct (%)31.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean10.52427184
Minimum0
Maximum131
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:16.359086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile50.6
Maximum131
Range131
Interquartile range (IQR)10

Descriptive statistics

Standard deviation21.27174535
Coefficient of variation (CV)2.021208276
Kurtosis13.28430541
Mean10.52427184
Median Absolute Deviation (MAD)2
Skewness3.388454816
Sum1084
Variance452.4871502
MonotocityNot monotonic
2021-03-18T15:59:16.448509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
036
33.6%
211
 
10.3%
18
 
7.5%
36
 
5.6%
64
 
3.7%
44
 
3.7%
103
 
2.8%
52
 
1.9%
112
 
1.9%
192
 
1.9%
Other values (22)25
23.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
18
 
7.5%
211
 
10.3%
36
 
5.6%
44
 
3.7%
ValueCountFrequency (%)
1311
0.9%
971
0.9%
871
0.9%
661
0.9%
561
0.9%

CGD PIERRELATTE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean26.67961165
Minimum0
Maximum268
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T15:59:16.539167image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q324
95-th percentile159.5
Maximum268
Range268
Interquartile range (IQR)24

Descriptive statistics

Standard deviation50.77829813
Coefficient of variation (CV)1.903262266
Kurtosis7.148895141
Mean26.67961165
Median Absolute Deviation (MAD)5
Skewness2.664805441
Sum2748
Variance2578.435561
MonotocityNot monotonic
2021-03-18T15:59:16.634723image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
032
29.9%
110
 
9.3%
25
 
4.7%
74
 
3.7%
114
 
3.7%
93
 
2.8%
243
 
2.8%
32
 
1.9%
332
 
1.9%
62
 
1.9%
Other values (33)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
110
 
9.3%
25
 
4.7%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
2681
0.9%
2051
0.9%
1801
0.9%
1661
0.9%
1641
0.9%

CGD ROMANS SUR ISERE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)45.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean40.06796117
Minimum0
Maximum384
Zeros23
Zeros (%)21.5%
Memory size984.0 B
2021-03-18T15:59:16.731217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q338
95-th percentile228.9
Maximum384
Range384
Interquartile range (IQR)37

Descriptive statistics

Standard deviation74.80225724
Coefficient of variation (CV)1.86688454
Kurtosis6.304175003
Mean40.06796117
Median Absolute Deviation (MAD)6
Skewness2.529188881
Sum4127
Variance5595.377689
MonotocityNot monotonic
2021-03-18T15:59:16.830494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
023
21.5%
114
 
13.1%
28
 
7.5%
64
 
3.7%
53
 
2.8%
443
 
2.8%
92
 
1.9%
212
 
1.9%
42
 
1.9%
192
 
1.9%
Other values (37)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
023
21.5%
114
13.1%
28
 
7.5%
31
 
0.9%
42
 
1.9%
ValueCountFrequency (%)
3841
0.9%
2881
0.9%
2761
0.9%
2581
0.9%
2391
0.9%

CGD BERNAY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean28.82524272
Minimum0
Maximum329
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:16.929213image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q327
95-th percentile142.4
Maximum329
Range329
Interquartile range (IQR)27

Descriptive statistics

Standard deviation54.1945347
Coefficient of variation (CV)1.880106795
Kurtosis10.5370328
Mean28.82524272
Median Absolute Deviation (MAD)4
Skewness2.944106452
Sum2969
Variance2937.047592
MonotocityNot monotonic
2021-03-18T15:59:17.018009image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
031
29.0%
18
 
7.5%
28
 
7.5%
34
 
3.7%
63
 
2.8%
53
 
2.8%
143
 
2.8%
163
 
2.8%
252
 
1.9%
602
 
1.9%
Other values (30)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
18
 
7.5%
28
 
7.5%
34
 
3.7%
41
 
0.9%
ValueCountFrequency (%)
3291
0.9%
2301
0.9%
1751
0.9%
1641
0.9%
1471
0.9%

CGD EVREUX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean31.76699029
Minimum0
Maximum343
Zeros25
Zeros (%)23.4%
Memory size984.0 B
2021-03-18T15:59:17.113268image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q333
95-th percentile141.9
Maximum343
Range343
Interquartile range (IQR)32

Descriptive statistics

Standard deviation61.24351969
Coefficient of variation (CV)1.927898083
Kurtosis10.70459873
Mean31.76699029
Median Absolute Deviation (MAD)6
Skewness3.067515453
Sum3272
Variance3750.768704
MonotocityNot monotonic
2021-03-18T15:59:17.205552image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
025
23.4%
115
14.0%
27
 
6.5%
114
 
3.7%
73
 
2.8%
93
 
2.8%
143
 
2.8%
362
 
1.9%
32
 
1.9%
62
 
1.9%
Other values (34)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
025
23.4%
115
14.0%
27
 
6.5%
32
 
1.9%
51
 
0.9%
ValueCountFrequency (%)
3431
0.9%
2881
0.9%
2811
0.9%
1741
0.9%
1551
0.9%

CGD LES ANDELYS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean31.27184466
Minimum0
Maximum332
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:17.302957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q329
95-th percentile139.1
Maximum332
Range332
Interquartile range (IQR)29

Descriptive statistics

Standard deviation60.04625573
Coefficient of variation (CV)1.920137951
Kurtosis9.505553329
Mean31.27184466
Median Absolute Deviation (MAD)6
Skewness2.945425372
Sum3221
Variance3605.552827
MonotocityNot monotonic
2021-03-18T15:59:17.393811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
027
25.2%
19
 
8.4%
27
 
6.5%
64
 
3.7%
124
 
3.7%
104
 
3.7%
212
 
1.9%
52
 
1.9%
132
 
1.9%
372
 
1.9%
Other values (34)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
19
 
8.4%
27
 
6.5%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
3321
0.9%
2791
0.9%
2421
0.9%
1951
0.9%
1851
0.9%

CGD LOUVIERS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean28.96116505
Minimum0
Maximum323
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:17.487884image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q324
95-th percentile151.9
Maximum323
Range323
Interquartile range (IQR)24

Descriptive statistics

Standard deviation56.20985231
Coefficient of variation (CV)1.940869858
Kurtosis9.570550482
Mean28.96116505
Median Absolute Deviation (MAD)6
Skewness2.926172136
Sum2983
Variance3159.547497
MonotocityNot monotonic
2021-03-18T15:59:17.577260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
035
32.7%
17
 
6.5%
75
 
4.7%
64
 
3.7%
243
 
2.8%
143
 
2.8%
23
 
2.8%
513
 
2.8%
122
 
1.9%
92
 
1.9%
Other values (30)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
17
 
6.5%
23
 
2.8%
32
 
1.9%
41
 
0.9%
ValueCountFrequency (%)
3231
0.9%
2501
0.9%
1941
0.9%
1741
0.9%
1611
0.9%

CGD PONT AUDEMER
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean25.69902913
Minimum0
Maximum288
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:17.672491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q324.5
95-th percentile131.3
Maximum288
Range288
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation51.48725998
Coefficient of variation (CV)2.003471015
Kurtosis12.34706562
Mean25.69902913
Median Absolute Deviation (MAD)4
Skewness3.304329186
Sum2647
Variance2650.93794
MonotocityNot monotonic
2021-03-18T15:59:17.763106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
033
30.8%
27
 
6.5%
16
 
5.6%
44
 
3.7%
63
 
2.8%
33
 
2.8%
172
 
1.9%
182
 
1.9%
92
 
1.9%
252
 
1.9%
Other values (33)39
36.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
16
 
5.6%
27
 
6.5%
33
 
2.8%
44
 
3.7%
ValueCountFrequency (%)
2881
0.9%
2781
0.9%
2031
0.9%
1471
0.9%
1381
0.9%

CGD CHATEAUDUN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean19.66019417
Minimum0
Maximum216
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T15:59:17.858505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324.5
95-th percentile90.6
Maximum216
Range216
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation37.93377961
Coefficient of variation (CV)1.929471259
Kurtosis13.2312745
Mean19.66019417
Median Absolute Deviation (MAD)3
Skewness3.380869973
Sum2025
Variance1438.971635
MonotocityNot monotonic
2021-03-18T15:59:17.945257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
032
29.9%
110
 
9.3%
26
 
5.6%
34
 
3.7%
124
 
3.7%
44
 
3.7%
263
 
2.8%
83
 
2.8%
302
 
1.9%
62
 
1.9%
Other values (30)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
110
 
9.3%
26
 
5.6%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
2161
0.9%
2071
0.9%
1611
0.9%
1001
0.9%
951
0.9%

CGD DREUX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean24.00970874
Minimum0
Maximum283
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T15:59:18.032481image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q320
95-th percentile113.8
Maximum283
Range283
Interquartile range (IQR)20

Descriptive statistics

Standard deviation46.16158643
Coefficient of variation (CV)1.922621675
Kurtosis11.19020818
Mean24.00970874
Median Absolute Deviation (MAD)4
Skewness3.042314096
Sum2473
Variance2130.892062
MonotocityNot monotonic
2021-03-18T15:59:18.118877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
028
26.2%
111
 
10.3%
28
 
7.5%
34
 
3.7%
94
 
3.7%
44
 
3.7%
163
 
2.8%
172
 
1.9%
62
 
1.9%
282
 
1.9%
Other values (31)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
111
 
10.3%
28
 
7.5%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
2831
0.9%
1921
0.9%
1711
0.9%
1271
0.9%
1241
0.9%

CGD LUCE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean27.78640777
Minimum0
Maximum336
Zeros25
Zeros (%)23.4%
Memory size984.0 B
2021-03-18T15:59:18.211784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q324.5
95-th percentile135.8
Maximum336
Range336
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation55.81019137
Coefficient of variation (CV)2.008542876
Kurtosis12.35274707
Mean27.78640777
Median Absolute Deviation (MAD)4
Skewness3.24518078
Sum2862
Variance3114.77746
MonotocityNot monotonic
2021-03-18T15:59:18.303985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
025
23.4%
116
15.0%
35
 
4.7%
54
 
3.7%
44
 
3.7%
254
 
3.7%
63
 
2.8%
83
 
2.8%
202
 
1.9%
72
 
1.9%
Other values (33)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
025
23.4%
116
15.0%
22
 
1.9%
35
 
4.7%
44
 
3.7%
ValueCountFrequency (%)
3361
0.9%
2711
0.9%
2091
0.9%
1421
0.9%
1391
0.9%

CGD NOGENT LE ROTROU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)33.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean13.6407767
Minimum0
Maximum178
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:18.397871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313.5
95-th percentile70.9
Maximum178
Range178
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation29.30898757
Coefficient of variation (CV)2.148630405
Kurtosis16.87506745
Mean13.6407767
Median Absolute Deviation (MAD)2
Skewness3.794505112
Sum1405
Variance859.0167523
MonotocityNot monotonic
2021-03-18T15:59:18.483526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
037
34.6%
110
 
9.3%
37
 
6.5%
25
 
4.7%
44
 
3.7%
103
 
2.8%
63
 
2.8%
233
 
2.8%
72
 
1.9%
52
 
1.9%
Other values (24)27
25.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
110
 
9.3%
25
 
4.7%
37
 
6.5%
44
 
3.7%
ValueCountFrequency (%)
1781
0.9%
1701
0.9%
871
0.9%
811
0.9%
731
0.9%

CGD BREST
Real number (ℝ≥0)

MISSING
ZEROS

Distinct50
Distinct (%)48.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean37.67961165
Minimum0
Maximum575
Zeros29
Zeros (%)27.1%
Memory size984.0 B
2021-03-18T15:59:18.581335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q329.5
95-th percentile170.6
Maximum575
Range575
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation78.92254997
Coefficient of variation (CV)2.094569092
Kurtosis21.71512799
Mean37.67961165
Median Absolute Deviation (MAD)6
Skewness4.041349094
Sum3881
Variance6228.768894
MonotocityNot monotonic
2021-03-18T15:59:18.676487image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
029
27.1%
19
 
8.4%
25
 
4.7%
44
 
3.7%
33
 
2.8%
93
 
2.8%
163
 
2.8%
232
 
1.9%
172
 
1.9%
312
 
1.9%
Other values (40)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
029
27.1%
19
 
8.4%
25
 
4.7%
33
 
2.8%
44
 
3.7%
ValueCountFrequency (%)
5751
0.9%
2811
0.9%
2531
0.9%
2321
0.9%
2211
0.9%

CGD CHATEAULIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean25.80582524
Minimum0
Maximum362
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:18.771977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q325
95-th percentile124.1
Maximum362
Range362
Interquartile range (IQR)25

Descriptive statistics

Standard deviation52.97947406
Coefficient of variation (CV)2.05300445
Kurtosis17.1353359
Mean25.80582524
Median Absolute Deviation (MAD)4
Skewness3.653890552
Sum2658
Variance2806.824672
MonotocityNot monotonic
2021-03-18T15:59:18.860826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
035
32.7%
17
 
6.5%
35
 
4.7%
24
 
3.7%
104
 
3.7%
83
 
2.8%
63
 
2.8%
593
 
2.8%
43
 
2.8%
362
 
1.9%
Other values (28)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
17
 
6.5%
24
 
3.7%
35
 
4.7%
43
 
2.8%
ValueCountFrequency (%)
3621
0.9%
2141
0.9%
1741
0.9%
1561
0.9%
1511
0.9%

CGD LANDERNEAU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean18.15533981
Minimum0
Maximum230
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:18.952532image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q317.5
95-th percentile96
Maximum230
Range230
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation36.96282109
Coefficient of variation (CV)2.035920092
Kurtosis13.09220168
Mean18.15533981
Median Absolute Deviation (MAD)3
Skewness3.33936758
Sum1870
Variance1366.250143
MonotocityNot monotonic
2021-03-18T15:59:19.039934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
036
33.6%
112
 
11.2%
54
 
3.7%
84
 
3.7%
23
 
2.8%
153
 
2.8%
33
 
2.8%
43
 
2.8%
262
 
1.9%
282
 
1.9%
Other values (27)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
112
 
11.2%
23
 
2.8%
33
 
2.8%
43
 
2.8%
ValueCountFrequency (%)
2301
0.9%
1671
0.9%
1281
0.9%
1161
0.9%
1081
0.9%

CGD PLOURIN LES MORLAIX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)37.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean24.51456311
Minimum0
Maximum318
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T15:59:19.128083image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q321
95-th percentile113.3
Maximum318
Range318
Interquartile range (IQR)21

Descriptive statistics

Standard deviation48.91045521
Coefficient of variation (CV)1.995159163
Kurtosis14.92407734
Mean24.51456311
Median Absolute Deviation (MAD)3
Skewness3.464467418
Sum2525
Variance2392.232629
MonotocityNot monotonic
2021-03-18T15:59:19.216755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
028
26.2%
115
14.0%
27
 
6.5%
54
 
3.7%
213
 
2.8%
153
 
2.8%
122
 
1.9%
32
 
1.9%
162
 
1.9%
142
 
1.9%
Other values (29)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
115
14.0%
27
 
6.5%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
3181
0.9%
2271
0.9%
1491
0.9%
1451
0.9%
1351
0.9%

CGD QUIMPER
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean38.75728155
Minimum0
Maximum511
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T15:59:19.309847image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q332
95-th percentile218.8
Maximum511
Range511
Interquartile range (IQR)31

Descriptive statistics

Standard deviation80.37881708
Coefficient of variation (CV)2.073902345
Kurtosis13.70184953
Mean38.75728155
Median Absolute Deviation (MAD)3
Skewness3.393460448
Sum3992
Variance6460.754236
MonotocityNot monotonic
2021-03-18T15:59:19.407798image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
024
22.4%
115
 
14.0%
27
 
6.5%
36
 
5.6%
83
 
2.8%
802
 
1.9%
472
 
1.9%
212
 
1.9%
52
 
1.9%
282
 
1.9%
Other values (34)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
115
14.0%
27
 
6.5%
36
 
5.6%
41
 
0.9%
ValueCountFrequency (%)
5111
0.9%
3271
0.9%
2961
0.9%
2711
0.9%
2291
0.9%

CGD QUIMPERLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean22.76699029
Minimum0
Maximum324
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:19.499759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile117
Maximum324
Range324
Interquartile range (IQR)20

Descriptive statistics

Standard deviation48.04842408
Coefficient of variation (CV)2.110442508
Kurtosis17.28177629
Mean22.76699029
Median Absolute Deviation (MAD)2
Skewness3.727509336
Sum2345
Variance2308.651057
MonotocityNot monotonic
2021-03-18T15:59:19.587410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
033
30.8%
114
13.1%
26
 
5.6%
35
 
4.7%
83
 
2.8%
132
 
1.9%
102
 
1.9%
632
 
1.9%
202
 
1.9%
192
 
1.9%
Other values (28)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
114
13.1%
26
 
5.6%
35
 
4.7%
41
 
0.9%
ValueCountFrequency (%)
3241
0.9%
2091
0.9%
1781
0.9%
1331
0.9%
1221
0.9%

CGD AJACCIO
Real number (ℝ≥0)

MISSING
ZEROS

Distinct35
Distinct (%)34.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean14.15533981
Minimum0
Maximum207
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:19.679864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q313
95-th percentile67.5
Maximum207
Range207
Interquartile range (IQR)13

Descriptive statistics

Standard deviation29.08734557
Coefficient of variation (CV)2.054867348
Kurtosis20.32584432
Mean14.15533981
Median Absolute Deviation (MAD)3
Skewness3.959651128
Sum1458
Variance846.0736722
MonotocityNot monotonic
2021-03-18T15:59:19.763731image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
038
35.5%
113
 
12.1%
45
 
4.7%
75
 
4.7%
83
 
2.8%
133
 
2.8%
33
 
2.8%
92
 
1.9%
292
 
1.9%
112
 
1.9%
Other values (25)27
25.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
113
 
12.1%
33
 
2.8%
45
 
4.7%
62
 
1.9%
ValueCountFrequency (%)
2071
0.9%
1201
0.9%
991
0.9%
781
0.9%
751
0.9%

CGD PORTO VECCHIO
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)35.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean14.90291262
Minimum0
Maximum180
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T15:59:19.849964image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q316
95-th percentile79.2
Maximum180
Range180
Interquartile range (IQR)16

Descriptive statistics

Standard deviation29.68313529
Coefficient of variation (CV)1.991767385
Kurtosis14.86978435
Mean14.90291262
Median Absolute Deviation (MAD)2
Skewness3.555039095
Sum1535
Variance881.0885208
MonotocityNot monotonic
2021-03-18T15:59:19.936837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
028
26.2%
117
15.9%
27
 
6.5%
33
 
2.8%
63
 
2.8%
43
 
2.8%
163
 
2.8%
53
 
2.8%
82
 
1.9%
332
 
1.9%
Other values (26)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
117
15.9%
27
 
6.5%
33
 
2.8%
43
 
2.8%
ValueCountFrequency (%)
1801
0.9%
1631
0.9%
951
0.9%
841
0.9%
802
1.9%

CGD SARTENE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct27
Distinct (%)26.2%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean7.184466019
Minimum0
Maximum99
Zeros43
Zeros (%)40.2%
Memory size984.0 B
2021-03-18T15:59:20.026715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36.5
95-th percentile33.8
Maximum99
Range99
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation14.50608228
Coefficient of variation (CV)2.01908983
Kurtosis16.92904121
Mean7.184466019
Median Absolute Deviation (MAD)1
Skewness3.61362058
Sum740
Variance210.426423
MonotocityNot monotonic
2021-03-18T15:59:20.110999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
043
40.2%
110
 
9.3%
210
 
9.3%
36
 
5.6%
54
 
3.7%
173
 
2.8%
123
 
2.8%
142
 
1.9%
72
 
1.9%
62
 
1.9%
Other values (17)18
16.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
043
40.2%
110
 
9.3%
210
 
9.3%
36
 
5.6%
42
 
1.9%
ValueCountFrequency (%)
991
0.9%
581
0.9%
521
0.9%
401
0.9%
361
0.9%

CGD BASTIA
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean18.06796117
Minimum0
Maximum197
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:20.200595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q318
95-th percentile83.8
Maximum197
Range197
Interquartile range (IQR)18

Descriptive statistics

Standard deviation33.59454383
Coefficient of variation (CV)1.859343372
Kurtosis10.84236936
Mean18.06796117
Median Absolute Deviation (MAD)4
Skewness3.025187558
Sum1861
Variance1128.593375
MonotocityNot monotonic
2021-03-18T15:59:20.904005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
033
30.8%
111
 
10.3%
46
 
5.6%
33
 
2.8%
83
 
2.8%
63
 
2.8%
413
 
2.8%
122
 
1.9%
132
 
1.9%
182
 
1.9%
Other values (30)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
111
 
10.3%
22
 
1.9%
33
 
2.8%
46
 
5.6%
ValueCountFrequency (%)
1971
0.9%
1661
0.9%
1071
0.9%
971
0.9%
891
0.9%

CGD CALVI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct29
Distinct (%)28.2%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean9.155339806
Minimum0
Maximum98
Zeros39
Zeros (%)36.4%
Memory size984.0 B
2021-03-18T15:59:21.000125image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310
95-th percentile42.5
Maximum98
Range98
Interquartile range (IQR)10

Descriptive statistics

Standard deviation18.13930695
Coefficient of variation (CV)1.981281671
Kurtosis11.16912423
Mean9.155339806
Median Absolute Deviation (MAD)2
Skewness3.234015924
Sum943
Variance329.0344565
MonotocityNot monotonic
2021-03-18T15:59:21.084677image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
039
36.4%
110
 
9.3%
38
 
7.5%
45
 
4.7%
54
 
3.7%
104
 
3.7%
23
 
2.8%
73
 
2.8%
132
 
1.9%
92
 
1.9%
Other values (19)23
21.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
039
36.4%
110
 
9.3%
23
 
2.8%
38
 
7.5%
45
 
4.7%
ValueCountFrequency (%)
981
0.9%
881
0.9%
841
0.9%
601
0.9%
591
0.9%

CGD CORTE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct19
Distinct (%)18.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean4.223300971
Minimum0
Maximum60
Zeros43
Zeros (%)40.2%
Memory size984.0 B
2021-03-18T15:59:21.163330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile26.8
Maximum60
Range60
Interquartile range (IQR)4

Descriptive statistics

Standard deviation9.182178005
Coefficient of variation (CV)2.174170884
Kurtosis15.64200332
Mean4.223300971
Median Absolute Deviation (MAD)1
Skewness3.648596833
Sum435
Variance84.31239292
MonotocityNot monotonic
2021-03-18T15:59:21.237227image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
043
40.2%
123
21.5%
47
 
6.5%
25
 
4.7%
34
 
3.7%
92
 
1.9%
52
 
1.9%
72
 
1.9%
272
 
1.9%
102
 
1.9%
Other values (9)11
 
10.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
043
40.2%
123
21.5%
25
 
4.7%
34
 
3.7%
47
 
6.5%
ValueCountFrequency (%)
601
0.9%
381
0.9%
331
0.9%
291
0.9%
272
1.9%

CGD GHISONACCIA
Real number (ℝ≥0)

MISSING
ZEROS

Distinct23
Distinct (%)22.3%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean7.893203883
Minimum0
Maximum111
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:21.318889image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37.5
95-th percentile39
Maximum111
Range111
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation15.90591986
Coefficient of variation (CV)2.015141139
Kurtosis19.04621965
Mean7.893203883
Median Absolute Deviation (MAD)2
Skewness3.84201616
Sum813
Variance252.9982867
MonotocityNot monotonic
2021-03-18T15:59:21.395686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
037
34.6%
111
 
10.3%
210
 
9.3%
36
 
5.6%
66
 
5.6%
154
 
3.7%
303
 
2.8%
53
 
2.8%
43
 
2.8%
393
 
2.8%
Other values (13)17
15.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
111
 
10.3%
210
 
9.3%
36
 
5.6%
43
 
2.8%
ValueCountFrequency (%)
1111
 
0.9%
721
 
0.9%
411
 
0.9%
401
 
0.9%
393
2.8%

CGD ALES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)45.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean39.61165049
Minimum0
Maximum445
Zeros25
Zeros (%)23.4%
Memory size984.0 B
2021-03-18T15:59:21.487290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q328.5
95-th percentile212.4
Maximum445
Range445
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation79.5621884
Coefficient of variation (CV)2.008555246
Kurtosis9.53492124
Mean39.61165049
Median Absolute Deviation (MAD)7
Skewness2.985033104
Sum4080
Variance6330.141824
MonotocityNot monotonic
2021-03-18T15:59:21.579493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
025
23.4%
110
 
9.3%
28
 
7.5%
35
 
4.7%
73
 
2.8%
302
 
1.9%
192
 
1.9%
92
 
1.9%
172
 
1.9%
122
 
1.9%
Other values (37)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
025
23.4%
110
 
9.3%
28
 
7.5%
35
 
4.7%
42
 
1.9%
ValueCountFrequency (%)
4451
0.9%
3461
0.9%
2892
1.9%
2731
0.9%
2171
0.9%

CGD BAGNOLS SUR CEZE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean36.03883495
Minimum0
Maximum405
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T15:59:21.674032image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q326.5
95-th percentile230.9
Maximum405
Range405
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation73.42889349
Coefficient of variation (CV)2.037493542
Kurtosis9.252111909
Mean36.03883495
Median Absolute Deviation (MAD)8
Skewness3.004054294
Sum3712
Variance5391.802399
MonotocityNot monotonic
2021-03-18T15:59:21.770416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
028
26.2%
112
 
11.2%
303
 
2.8%
173
 
2.8%
23
 
2.8%
103
 
2.8%
123
 
2.8%
163
 
2.8%
73
 
2.8%
1312
 
1.9%
Other values (34)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
112
11.2%
23
 
2.8%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
4051
0.9%
2951
0.9%
2771
0.9%
2651
0.9%
2561
0.9%

CGD LE VIGAN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)33.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean13.59223301
Minimum0
Maximum117
Zeros44
Zeros (%)41.1%
Memory size984.0 B
2021-03-18T15:59:21.864121image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313.5
95-th percentile70.4
Maximum117
Range117
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation24.0316119
Coefficient of variation (CV)1.768040018
Kurtosis5.156385751
Mean13.59223301
Median Absolute Deviation (MAD)2
Skewness2.298194421
Sum1400
Variance577.5183705
MonotocityNot monotonic
2021-03-18T15:59:21.952453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
044
41.1%
17
 
6.5%
26
 
5.6%
133
 
2.8%
83
 
2.8%
33
 
2.8%
52
 
1.9%
122
 
1.9%
42
 
1.9%
92
 
1.9%
Other values (24)29
27.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
044
41.1%
17
 
6.5%
26
 
5.6%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
1171
0.9%
1011
0.9%
832
1.9%
731
0.9%
711
0.9%

CGD NIMES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)45.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean48.23300971
Minimum0
Maximum600
Zeros22
Zeros (%)20.6%
Memory size984.0 B
2021-03-18T15:59:22.046947image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q331
95-th percentile276.8
Maximum600
Range600
Interquartile range (IQR)30

Descriptive statistics

Standard deviation100.8102667
Coefficient of variation (CV)2.09006793
Kurtosis11.99851388
Mean48.23300971
Median Absolute Deviation (MAD)8
Skewness3.263245096
Sum4968
Variance10162.70988
MonotocityNot monotonic
2021-03-18T15:59:22.139728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
022
20.6%
112
 
11.2%
310
 
9.3%
283
 
2.8%
23
 
2.8%
293
 
2.8%
43
 
2.8%
312
 
1.9%
262
 
1.9%
132
 
1.9%
Other values (37)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
022
20.6%
112
11.2%
23
 
2.8%
310
9.3%
43
 
2.8%
ValueCountFrequency (%)
6001
0.9%
4771
0.9%
3591
0.9%
2991
0.9%
2931
0.9%

CGD VAUVERT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean47.2815534
Minimum0
Maximum487
Zeros22
Zeros (%)20.6%
Memory size984.0 B
2021-03-18T15:59:22.236989image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q337.5
95-th percentile286.8
Maximum487
Range487
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation96.38234903
Coefficient of variation (CV)2.038476787
Kurtosis9.479312039
Mean47.2815534
Median Absolute Deviation (MAD)10
Skewness3.077787041
Sum4870
Variance9289.557205
MonotocityNot monotonic
2021-03-18T15:59:22.337587image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
022
20.6%
112
 
11.2%
37
 
6.5%
25
 
4.7%
283
 
2.8%
113
 
2.8%
323
 
2.8%
92
 
1.9%
232
 
1.9%
102
 
1.9%
Other values (39)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
022
20.6%
112
11.2%
25
 
4.7%
37
 
6.5%
41
 
0.9%
ValueCountFrequency (%)
4871
0.9%
4501
0.9%
4111
0.9%
3601
0.9%
3501
0.9%

CGD MURET
Real number (ℝ≥0)

MISSING
ZEROS

Distinct54
Distinct (%)52.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean70.30097087
Minimum0
Maximum892
Zeros23
Zeros (%)21.5%
Memory size984.0 B
2021-03-18T15:59:22.437118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q359
95-th percentile376.7
Maximum892
Range892
Interquartile range (IQR)58

Descriptive statistics

Standard deviation146.7626358
Coefficient of variation (CV)2.087633129
Kurtosis13.21919196
Mean70.30097087
Median Absolute Deviation (MAD)10
Skewness3.41019201
Sum7241
Variance21539.27127
MonotocityNot monotonic
2021-03-18T15:59:22.532076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
023
21.5%
38
 
7.5%
15
 
4.7%
25
 
4.7%
44
 
3.7%
63
 
2.8%
53
 
2.8%
233
 
2.8%
172
 
1.9%
132
 
1.9%
Other values (44)45
42.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
023
21.5%
15
 
4.7%
25
 
4.7%
38
 
7.5%
44
 
3.7%
ValueCountFrequency (%)
8921
0.9%
6771
0.9%
6061
0.9%
4441
0.9%
4271
0.9%

CGD ST GAUDENS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)35.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean18.7961165
Minimum0
Maximum223
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:22.624882image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q317.5
95-th percentile85.6
Maximum223
Range223
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation37.05410967
Coefficient of variation (CV)1.971370504
Kurtosis11.39500424
Mean18.7961165
Median Absolute Deviation (MAD)2
Skewness3.11487292
Sum1936
Variance1373.007044
MonotocityNot monotonic
2021-03-18T15:59:22.709066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
038
35.5%
112
 
11.2%
35
 
4.7%
64
 
3.7%
153
 
2.8%
73
 
2.8%
103
 
2.8%
732
 
1.9%
342
 
1.9%
22
 
1.9%
Other values (26)29
27.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
112
 
11.2%
22
 
1.9%
35
 
4.7%
41
 
0.9%
ValueCountFrequency (%)
2231
0.9%
1581
0.9%
1481
0.9%
1251
0.9%
911
0.9%

CGD TOULOUSE MIRAIL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct51
Distinct (%)49.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean69.76699029
Minimum0
Maximum845
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T15:59:22.803917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q348
95-th percentile469.1
Maximum845
Range845
Interquartile range (IQR)47

Descriptive statistics

Standard deviation154.4199268
Coefficient of variation (CV)2.213366611
Kurtosis12.04170961
Mean69.76699029
Median Absolute Deviation (MAD)7
Skewness3.37500056
Sum7186
Variance23845.5138
MonotocityNot monotonic
2021-03-18T15:59:22.898388image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
024
22.4%
110
 
9.3%
28
 
7.5%
33
 
2.8%
53
 
2.8%
182
 
1.9%
222
 
1.9%
342
 
1.9%
92
 
1.9%
262
 
1.9%
Other values (41)45
42.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
110
9.3%
28
 
7.5%
33
 
2.8%
41
 
0.9%
ValueCountFrequency (%)
8451
0.9%
7991
0.9%
5861
0.9%
5221
0.9%
4991
0.9%

CGD TOULOUSE ST MICHEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct55
Distinct (%)53.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean90.45631068
Minimum0
Maximum1459
Zeros22
Zeros (%)20.6%
Memory size984.0 B
2021-03-18T15:59:22.994667image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q362
95-th percentile498.9
Maximum1459
Range1459
Interquartile range (IQR)61

Descriptive statistics

Standard deviation209.181963
Coefficient of variation (CV)2.312519287
Kurtosis20.7744753
Mean90.45631068
Median Absolute Deviation (MAD)10
Skewness4.127746502
Sum9317
Variance43757.09366
MonotocityNot monotonic
2021-03-18T15:59:23.092813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
022
20.6%
36
 
5.6%
16
 
5.6%
74
 
3.7%
24
 
3.7%
43
 
2.8%
123
 
2.8%
442
 
1.9%
252
 
1.9%
102
 
1.9%
Other values (45)49
45.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
022
20.6%
16
 
5.6%
24
 
3.7%
36
 
5.6%
43
 
2.8%
ValueCountFrequency (%)
14591
0.9%
9701
0.9%
6611
0.9%
6481
0.9%
5311
0.9%

CGD VILLEFRANCHE DE LAURAGAIS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)45.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean65.74757282
Minimum0
Maximum917
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T15:59:23.194578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q340
95-th percentile357
Maximum917
Range917
Interquartile range (IQR)40

Descriptive statistics

Standard deviation152.1824059
Coefficient of variation (CV)2.314646753
Kurtosis14.85743181
Mean65.74757282
Median Absolute Deviation (MAD)8
Skewness3.681427155
Sum6772
Variance23159.48468
MonotocityNot monotonic
2021-03-18T15:59:23.289694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
028
26.2%
17
 
6.5%
26
 
5.6%
85
 
4.7%
93
 
2.8%
43
 
2.8%
262
 
1.9%
202
 
1.9%
1112
 
1.9%
72
 
1.9%
Other values (37)43
40.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
17
 
6.5%
26
 
5.6%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
9171
0.9%
7731
0.9%
5541
0.9%
5191
0.9%
5111
0.9%

CGD AUCH
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.12621359
Minimum0
Maximum347
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:23.382054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q318.5
95-th percentile112.7
Maximum347
Range347
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation49.15734633
Coefficient of variation (CV)2.125611533
Kurtosis19.68842353
Mean23.12621359
Median Absolute Deviation (MAD)3
Skewness3.90942954
Sum2382
Variance2416.444698
MonotocityNot monotonic
2021-03-18T15:59:23.473706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
033
30.8%
111
 
10.3%
26
 
5.6%
153
 
2.8%
33
 
2.8%
93
 
2.8%
72
 
1.9%
112
 
1.9%
402
 
1.9%
42
 
1.9%
Other values (31)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
111
 
10.3%
26
 
5.6%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
3471
0.9%
1951
0.9%
1581
0.9%
1481
0.9%
1361
0.9%

CGD CONDOM
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean22.73786408
Minimum0
Maximum277
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:23.569721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q321
95-th percentile114.8
Maximum277
Range277
Interquartile range (IQR)21

Descriptive statistics

Standard deviation46.83260997
Coefficient of variation (CV)2.05967499
Kurtosis12.61794483
Mean22.73786408
Median Absolute Deviation (MAD)3
Skewness3.339089062
Sum2342
Variance2193.293356
MonotocityNot monotonic
2021-03-18T15:59:23.656247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
027
25.2%
119
17.8%
34
 
3.7%
104
 
3.7%
23
 
2.8%
222
 
1.9%
162
 
1.9%
92
 
1.9%
532
 
1.9%
342
 
1.9%
Other values (31)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
119
17.8%
23
 
2.8%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
2771
0.9%
2341
0.9%
1751
0.9%
1421
0.9%
1351
0.9%

CGD ARCACHON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean50.58252427
Minimum0
Maximum696
Zeros25
Zeros (%)23.4%
Memory size984.0 B
2021-03-18T15:59:23.750338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q344
95-th percentile346.7
Maximum696
Range696
Interquartile range (IQR)43

Descriptive statistics

Standard deviation111.7976572
Coefficient of variation (CV)2.210203204
Kurtosis13.86141604
Mean50.58252427
Median Absolute Deviation (MAD)5
Skewness3.508418543
Sum5210
Variance12498.71616
MonotocityNot monotonic
2021-03-18T15:59:23.846907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
025
23.4%
110
 
9.3%
56
 
5.6%
25
 
4.7%
34
 
3.7%
263
 
2.8%
43
 
2.8%
193
 
2.8%
902
 
1.9%
322
 
1.9%
Other values (35)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
025
23.4%
110
 
9.3%
25
 
4.7%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
6961
0.9%
4941
0.9%
3801
0.9%
3571
0.9%
3551
0.9%

CGD BLAYE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean38.72815534
Minimum0
Maximum374
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T15:59:23.946854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q333
95-th percentile215.7
Maximum374
Range374
Interquartile range (IQR)32

Descriptive statistics

Standard deviation74.81391217
Coefficient of variation (CV)1.931770608
Kurtosis8.157866005
Mean38.72815534
Median Absolute Deviation (MAD)5
Skewness2.803530177
Sum3989
Variance5597.121454
MonotocityNot monotonic
2021-03-18T15:59:24.040553image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
024
22.4%
110
 
9.3%
28
 
7.5%
47
 
6.5%
73
 
2.8%
453
 
2.8%
152
 
1.9%
32
 
1.9%
62
 
1.9%
262
 
1.9%
Other values (35)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
110
9.3%
28
 
7.5%
32
 
1.9%
47
 
6.5%
ValueCountFrequency (%)
3741
0.9%
3731
0.9%
2661
0.9%
2561
0.9%
2341
0.9%

CGD BOULIAC
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean59.26213592
Minimum0
Maximum798
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:24.143666image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q344.5
95-th percentile297.9
Maximum798
Range798
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation135.8249999
Coefficient of variation (CV)2.291935615
Kurtosis13.49920154
Mean59.26213592
Median Absolute Deviation (MAD)6
Skewness3.542805612
Sum6104
Variance18448.43061
MonotocityNot monotonic
2021-03-18T15:59:24.244787image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
027
25.2%
27
 
6.5%
15
 
4.7%
54
 
3.7%
154
 
3.7%
64
 
3.7%
44
 
3.7%
33
 
2.8%
182
 
1.9%
192
 
1.9%
Other values (39)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
15
 
4.7%
27
 
6.5%
33
 
2.8%
44
 
3.7%
ValueCountFrequency (%)
7981
0.9%
6171
0.9%
5751
0.9%
5621
0.9%
3291
0.9%

CGD LANGON TOULENNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)44.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean44.6407767
Minimum0
Maximum507
Zeros26
Zeros (%)24.3%
Memory size984.0 B
2021-03-18T15:59:24.347934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median7
Q342.5
95-th percentile253.9
Maximum507
Range507
Interquartile range (IQR)42

Descriptive statistics

Standard deviation91.33807642
Coefficient of variation (CV)2.046068262
Kurtosis10.05966689
Mean44.6407767
Median Absolute Deviation (MAD)7
Skewness3.070761306
Sum4598
Variance8342.644203
MonotocityNot monotonic
2021-03-18T15:59:24.449979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
026
24.3%
111
 
10.3%
44
 
3.7%
34
 
3.7%
84
 
3.7%
24
 
3.7%
183
 
2.8%
422
 
1.9%
472
 
1.9%
52
 
1.9%
Other values (36)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
026
24.3%
111
10.3%
24
 
3.7%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
5071
0.9%
4241
0.9%
3501
0.9%
3221
0.9%
2771
0.9%

CGD LESPARRE MEDOC
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean47.42718447
Minimum0
Maximum496
Zeros25
Zeros (%)23.4%
Memory size984.0 B
2021-03-18T15:59:24.549189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q343
95-th percentile315.7
Maximum496
Range496
Interquartile range (IQR)42

Descriptive statistics

Standard deviation93.71730561
Coefficient of variation (CV)1.976025072
Kurtosis8.801881395
Mean47.42718447
Median Absolute Deviation (MAD)6
Skewness2.923155581
Sum4885
Variance8782.933371
MonotocityNot monotonic
2021-03-18T15:59:24.652742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
025
23.4%
28
 
7.5%
17
 
6.5%
54
 
3.7%
44
 
3.7%
1553
 
2.8%
212
 
1.9%
142
 
1.9%
32
 
1.9%
222
 
1.9%
Other values (38)44
41.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
025
23.4%
17
 
6.5%
28
 
7.5%
32
 
1.9%
44
 
3.7%
ValueCountFrequency (%)
4961
0.9%
4171
0.9%
3461
0.9%
3341
0.9%
3331
0.9%

CGD LIBOURNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct54
Distinct (%)52.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean61.77669903
Minimum0
Maximum670
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T15:59:24.753640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q346
95-th percentile324.1
Maximum670
Range670
Interquartile range (IQR)45

Descriptive statistics

Standard deviation122.6208033
Coefficient of variation (CV)1.984903779
Kurtosis9.596202907
Mean61.77669903
Median Absolute Deviation (MAD)9
Skewness2.999993123
Sum6363
Variance15035.86141
MonotocityNot monotonic
2021-03-18T15:59:24.852402image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
024
22.4%
17
 
6.5%
84
 
3.7%
24
 
3.7%
93
 
2.8%
73
 
2.8%
112
 
1.9%
42
 
1.9%
432
 
1.9%
372
 
1.9%
Other values (44)50
46.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
17
 
6.5%
24
 
3.7%
31
 
0.9%
42
 
1.9%
ValueCountFrequency (%)
6701
0.9%
5781
0.9%
4451
0.9%
4381
0.9%
4071
0.9%

CGD MERIGNAC
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean66.83495146
Minimum0
Maximum921
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:24.955580image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q348.5
95-th percentile381.5
Maximum921
Range921
Interquartile range (IQR)48.5

Descriptive statistics

Standard deviation157.7622993
Coefficient of variation (CV)2.360476006
Kurtosis17.08302807
Mean66.83495146
Median Absolute Deviation (MAD)6
Skewness3.919965742
Sum6884
Variance24888.94308
MonotocityNot monotonic
2021-03-18T15:59:25.054065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
027
25.2%
26
 
5.6%
16
 
5.6%
54
 
3.7%
214
 
3.7%
44
 
3.7%
33
 
2.8%
63
 
2.8%
222
 
1.9%
1032
 
1.9%
Other values (38)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
16
 
5.6%
26
 
5.6%
33
 
2.8%
44
 
3.7%
ValueCountFrequency (%)
9211
0.9%
9181
0.9%
6291
0.9%
4271
0.9%
3981
0.9%

CGD BEZIERS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)45.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean42.11650485
Minimum0
Maximum488
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T15:59:25.148969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q334
95-th percentile215
Maximum488
Range488
Interquartile range (IQR)33

Descriptive statistics

Standard deviation87.93427815
Coefficient of variation (CV)2.087881662
Kurtosis10.80025903
Mean42.11650485
Median Absolute Deviation (MAD)5
Skewness3.202141765
Sum4338
Variance7732.437274
MonotocityNot monotonic
2021-03-18T15:59:25.250270image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
024
22.4%
19
 
8.4%
27
 
6.5%
36
 
5.6%
44
 
3.7%
103
 
2.8%
782
 
1.9%
222
 
1.9%
72
 
1.9%
162
 
1.9%
Other values (37)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
19
 
8.4%
27
 
6.5%
36
 
5.6%
44
 
3.7%
ValueCountFrequency (%)
4881
0.9%
3881
0.9%
3831
0.9%
3181
0.9%
3051
0.9%

CGD CASTELNAU LE LEZ
Real number (ℝ≥0)

MISSING
ZEROS

Distinct55
Distinct (%)53.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean92.48543689
Minimum0
Maximum972
Zeros18
Zeros (%)16.8%
Memory size984.0 B
2021-03-18T15:59:25.351397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median13
Q352
95-th percentile539.5
Maximum972
Range972
Interquartile range (IQR)51

Descriptive statistics

Standard deviation196.7979886
Coefficient of variation (CV)2.127880834
Kurtosis8.35976241
Mean92.48543689
Median Absolute Deviation (MAD)13
Skewness2.911988278
Sum9526
Variance38729.44832
MonotocityNot monotonic
2021-03-18T15:59:25.452351image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018
 
16.8%
114
 
13.1%
26
 
5.6%
74
 
3.7%
363
 
2.8%
43
 
2.8%
223
 
2.8%
32
 
1.9%
432
 
1.9%
272
 
1.9%
Other values (45)46
43.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
018
16.8%
114
13.1%
26
 
5.6%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
9721
0.9%
9091
0.9%
8281
0.9%
6921
0.9%
5911
0.9%

CGD LODEVE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean34.55339806
Minimum0
Maximum305
Zeros30
Zeros (%)28.0%
Memory size984.0 B
2021-03-18T15:59:25.551471image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q329
95-th percentile224.8
Maximum305
Range305
Interquartile range (IQR)29

Descriptive statistics

Standard deviation66.93408056
Coefficient of variation (CV)1.937120061
Kurtosis6.074181911
Mean34.55339806
Median Absolute Deviation (MAD)4
Skewness2.562164438
Sum3559
Variance4480.17114
MonotocityNot monotonic
2021-03-18T15:59:25.644759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
030
28.0%
110
 
9.3%
26
 
5.6%
34
 
3.7%
44
 
3.7%
73
 
2.8%
173
 
2.8%
292
 
1.9%
192
 
1.9%
582
 
1.9%
Other values (35)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
030
28.0%
110
 
9.3%
26
 
5.6%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
3051
0.9%
2751
0.9%
2651
0.9%
2491
0.9%
2381
0.9%

CGD LUNEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct54
Distinct (%)52.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean69.44660194
Minimum0
Maximum699
Zeros18
Zeros (%)16.8%
Memory size984.0 B
2021-03-18T15:59:25.750354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q352.5
95-th percentile436.1
Maximum699
Range699
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation150.8778709
Coefficient of variation (CV)2.172573843
Kurtosis9.251328214
Mean69.44660194
Median Absolute Deviation (MAD)9
Skewness3.094556983
Sum7153
Variance22764.13192
MonotocityNot monotonic
2021-03-18T15:59:25.849668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018
 
16.8%
113
 
12.1%
245
 
4.7%
25
 
4.7%
34
 
3.7%
64
 
3.7%
252
 
1.9%
42
 
1.9%
322
 
1.9%
202
 
1.9%
Other values (44)46
43.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
018
16.8%
113
12.1%
25
 
4.7%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
6991
0.9%
6871
0.9%
6641
0.9%
6571
0.9%
4911
0.9%

CGD PEZENAS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct51
Distinct (%)49.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean56.77669903
Minimum0
Maximum636
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T15:59:25.953624image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median11
Q340.5
95-th percentile368
Maximum636
Range636
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation115.9819063
Coefficient of variation (CV)2.042772973
Kurtosis9.1132035
Mean56.77669903
Median Absolute Deviation (MAD)11
Skewness2.969761837
Sum5848
Variance13451.80259
MonotocityNot monotonic
2021-03-18T15:59:26.050649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
024
22.4%
28
 
7.5%
16
 
5.6%
35
 
4.7%
273
 
2.8%
503
 
2.8%
133
 
2.8%
43
 
2.8%
73
 
2.8%
342
 
1.9%
Other values (41)43
40.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
16
 
5.6%
28
 
7.5%
35
 
4.7%
43
 
2.8%
ValueCountFrequency (%)
6361
0.9%
4921
0.9%
4251
0.9%
4111
0.9%
3961
0.9%

CGD MONTFORT SUR MEU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean26.01941748
Minimum0
Maximum355
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T15:59:26.148491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q319.5
95-th percentile122.7
Maximum355
Range355
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation53.88858888
Coefficient of variation (CV)2.071091289
Kurtosis17.14814186
Mean26.01941748
Median Absolute Deviation (MAD)4
Skewness3.727323086
Sum2680
Variance2903.980011
MonotocityNot monotonic
2021-03-18T15:59:26.241722image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
032
29.9%
18
 
7.5%
28
 
7.5%
45
 
4.7%
133
 
2.8%
153
 
2.8%
183
 
2.8%
33
 
2.8%
552
 
1.9%
142
 
1.9%
Other values (31)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
18
 
7.5%
28
 
7.5%
33
 
2.8%
45
 
4.7%
ValueCountFrequency (%)
3551
0.9%
2731
0.9%
1601
0.9%
1561
0.9%
1381
0.9%

CGD REDON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean28.32038835
Minimum0
Maximum355
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:26.340516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q325
95-th percentile124.2
Maximum355
Range355
Interquartile range (IQR)25

Descriptive statistics

Standard deviation56.12559683
Coefficient of variation (CV)1.98180887
Kurtosis14.41767936
Mean28.32038835
Median Absolute Deviation (MAD)4
Skewness3.429670106
Sum2917
Variance3150.082619
MonotocityNot monotonic
2021-03-18T15:59:26.439681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
031
29.0%
110
 
9.3%
26
 
5.6%
34
 
3.7%
233
 
2.8%
143
 
2.8%
43
 
2.8%
162
 
1.9%
252
 
1.9%
122
 
1.9%
Other values (32)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
110
 
9.3%
26
 
5.6%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
3551
0.9%
2771
0.9%
1801
0.9%
1751
0.9%
1551
0.9%

CGD RENNES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct52
Distinct (%)50.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean67.34951456
Minimum0
Maximum741
Zeros25
Zeros (%)23.4%
Memory size984.0 B
2021-03-18T15:59:26.583025image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q368
95-th percentile342
Maximum741
Range741
Interquartile range (IQR)67

Descriptive statistics

Standard deviation131.8866647
Coefficient of variation (CV)1.958242247
Kurtosis9.400395457
Mean67.34951456
Median Absolute Deviation (MAD)7
Skewness2.929713398
Sum6937
Variance17394.09233
MonotocityNot monotonic
2021-03-18T15:59:26.699732image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
025
23.4%
110
 
9.3%
24
 
3.7%
34
 
3.7%
83
 
2.8%
43
 
2.8%
73
 
2.8%
112
 
1.9%
542
 
1.9%
192
 
1.9%
Other values (42)45
42.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
025
23.4%
110
 
9.3%
24
 
3.7%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
7411
0.9%
5591
0.9%
5071
0.9%
4931
0.9%
4071
0.9%

CGD ST MALO
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean27.70873786
Minimum0
Maximum327
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:26.842839image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q325.5
95-th percentile143.2
Maximum327
Range327
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation54.72957244
Coefficient of variation (CV)1.975173778
Kurtosis11.67001258
Mean27.70873786
Median Absolute Deviation (MAD)4
Skewness3.153808921
Sum2854
Variance2995.326099
MonotocityNot monotonic
2021-03-18T15:59:26.969901image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
037
34.6%
47
 
6.5%
16
 
5.6%
164
 
3.7%
63
 
2.8%
213
 
2.8%
23
 
2.8%
842
 
1.9%
32
 
1.9%
332
 
1.9%
Other values (32)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
16
 
5.6%
23
 
2.8%
32
 
1.9%
47
 
6.5%
ValueCountFrequency (%)
3271
0.9%
2621
0.9%
1791
0.9%
1751
0.9%
1551
0.9%

CGD VITRE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean52.41747573
Minimum0
Maximum657
Zeros25
Zeros (%)23.4%
Memory size984.0 B
2021-03-18T15:59:27.924193image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q351.5
95-th percentile237.7
Maximum657
Range657
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation105.203866
Coefficient of variation (CV)2.007038006
Kurtosis13.35532189
Mean52.41747573
Median Absolute Deviation (MAD)5
Skewness3.339683582
Sum5399
Variance11067.85342
MonotocityNot monotonic
2021-03-18T15:59:28.027740image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
025
23.4%
110
 
9.3%
26
 
5.6%
35
 
4.7%
45
 
4.7%
223
 
2.8%
52
 
1.9%
402
 
1.9%
552
 
1.9%
122
 
1.9%
Other values (39)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
025
23.4%
110
 
9.3%
26
 
5.6%
35
 
4.7%
45
 
4.7%
ValueCountFrequency (%)
6571
0.9%
4841
0.9%
3851
0.9%
3311
0.9%
2891
0.9%

CGD ISSOUDUN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean15.09708738
Minimum0
Maximum170
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:28.124376image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314
95-th percentile66.2
Maximum170
Range170
Interquartile range (IQR)14

Descriptive statistics

Standard deviation30.22092333
Coefficient of variation (CV)2.001771771
Kurtosis12.93349955
Mean15.09708738
Median Absolute Deviation (MAD)2
Skewness3.338294353
Sum1555
Variance913.3042071
MonotocityNot monotonic
2021-03-18T15:59:28.212692image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
038
35.5%
110
 
9.3%
116
 
5.6%
25
 
4.7%
74
 
3.7%
63
 
2.8%
43
 
2.8%
32
 
1.9%
52
 
1.9%
142
 
1.9%
Other values (27)28
26.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
110
 
9.3%
25
 
4.7%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
1701
0.9%
1691
0.9%
1031
0.9%
981
0.9%
801
0.9%

CGD LA CHATRE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean17.62135922
Minimum0
Maximum217
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:28.307881image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q316
95-th percentile83
Maximum217
Range217
Interquartile range (IQR)16

Descriptive statistics

Standard deviation35.57817036
Coefficient of variation (CV)2.019036665
Kurtosis13.61576746
Mean17.62135922
Median Absolute Deviation (MAD)2
Skewness3.370931295
Sum1815
Variance1265.806206
MonotocityNot monotonic
2021-03-18T15:59:28.393781image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
038
35.5%
19
 
8.4%
37
 
6.5%
25
 
4.7%
303
 
2.8%
93
 
2.8%
62
 
1.9%
832
 
1.9%
122
 
1.9%
112
 
1.9%
Other values (27)30
28.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
19
 
8.4%
25
 
4.7%
37
 
6.5%
41
 
0.9%
ValueCountFrequency (%)
2171
0.9%
1831
0.9%
1231
0.9%
941
0.9%
891
0.9%

CGD LE BLANC
Real number (ℝ≥0)

MISSING
ZEROS

Distinct32
Distinct (%)31.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean12.5631068
Minimum0
Maximum178
Zeros47
Zeros (%)43.9%
Memory size984.0 B
2021-03-18T15:59:28.479741image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q312
95-th percentile64.4
Maximum178
Range178
Interquartile range (IQR)12

Descriptive statistics

Standard deviation24.96140939
Coefficient of variation (CV)1.986881891
Kurtosis19.34860906
Mean12.5631068
Median Absolute Deviation (MAD)2
Skewness3.767858533
Sum1294
Variance623.0719589
MonotocityNot monotonic
2021-03-18T15:59:28.564506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
047
43.9%
106
 
5.6%
25
 
4.7%
44
 
3.7%
14
 
3.7%
143
 
2.8%
33
 
2.8%
112
 
1.9%
82
 
1.9%
122
 
1.9%
Other values (22)25
23.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
047
43.9%
14
 
3.7%
25
 
4.7%
33
 
2.8%
44
 
3.7%
ValueCountFrequency (%)
1781
0.9%
911
0.9%
721
0.9%
711
0.9%
701
0.9%

CGD AMBOISE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)44.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean37.7961165
Minimum0
Maximum547
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:28.659026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q325
95-th percentile179.1
Maximum547
Range547
Interquartile range (IQR)25

Descriptive statistics

Standard deviation81.24175484
Coefficient of variation (CV)2.149473606
Kurtosis16.70813099
Mean37.7961165
Median Absolute Deviation (MAD)4
Skewness3.661136034
Sum3893
Variance6600.22273
MonotocityNot monotonic
2021-03-18T15:59:28.750163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
034
31.8%
111
 
10.3%
103
 
2.8%
53
 
2.8%
173
 
2.8%
23
 
2.8%
252
 
1.9%
842
 
1.9%
42
 
1.9%
62
 
1.9%
Other values (36)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
111
 
10.3%
23
 
2.8%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
5471
0.9%
3211
0.9%
2821
0.9%
2591
0.9%
2531
0.9%

CGD CHINON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean26.70873786
Minimum0
Maximum398
Zeros29
Zeros (%)27.1%
Memory size984.0 B
2021-03-18T15:59:28.847507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q328
95-th percentile134.9
Maximum398
Range398
Interquartile range (IQR)28

Descriptive statistics

Standard deviation55.12563744
Coefficient of variation (CV)2.063955164
Kurtosis20.60952219
Mean26.70873786
Median Absolute Deviation (MAD)3
Skewness3.915741532
Sum2751
Variance3038.835903
MonotocityNot monotonic
2021-03-18T15:59:28.944510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
029
27.1%
117
15.9%
25
 
4.7%
84
 
3.7%
74
 
3.7%
62
 
1.9%
302
 
1.9%
352
 
1.9%
1162
 
1.9%
232
 
1.9%
Other values (32)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
029
27.1%
117
15.9%
25
 
4.7%
32
 
1.9%
41
 
0.9%
ValueCountFrequency (%)
3981
0.9%
1871
0.9%
1801
0.9%
1521
0.9%
1441
0.9%

CGD LOCHES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean26.10679612
Minimum0
Maximum341
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:29.049460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322
95-th percentile150.8
Maximum341
Range341
Interquartile range (IQR)22

Descriptive statistics

Standard deviation52.74799738
Coefficient of variation (CV)2.020469963
Kurtosis13.42618582
Mean26.10679612
Median Absolute Deviation (MAD)2
Skewness3.276676801
Sum2689
Variance2782.351228
MonotocityNot monotonic
2021-03-18T15:59:29.142997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
036
33.6%
111
 
10.3%
26
 
5.6%
153
 
2.8%
172
 
1.9%
602
 
1.9%
122
 
1.9%
102
 
1.9%
672
 
1.9%
72
 
1.9%
Other values (32)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
111
 
10.3%
26
 
5.6%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
3411
0.9%
1911
0.9%
1841
0.9%
1551
0.9%
1541
0.9%

CGD TOURS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean33.89320388
Minimum0
Maximum518
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:29.238730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q325
95-th percentile159.1
Maximum518
Range518
Interquartile range (IQR)25

Descriptive statistics

Standard deviation73.02791739
Coefficient of variation (CV)2.154647806
Kurtosis20.26807148
Mean33.89320388
Median Absolute Deviation (MAD)5
Skewness3.96001064
Sum3491
Variance5333.076718
MonotocityNot monotonic
2021-03-18T15:59:29.336744image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
035
32.7%
17
 
6.5%
45
 
4.7%
55
 
4.7%
194
 
3.7%
33
 
2.8%
143
 
2.8%
73
 
2.8%
242
 
1.9%
1032
 
1.9%
Other values (31)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
17
 
6.5%
21
 
0.9%
33
 
2.8%
45
 
4.7%
ValueCountFrequency (%)
5181
0.9%
2981
0.9%
2461
0.9%
1961
0.9%
1951
0.9%

CGD BOURGOIN JALLIEU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct54
Distinct (%)52.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean65.2038835
Minimum0
Maximum649
Zeros21
Zeros (%)19.6%
Memory size984.0 B
2021-03-18T15:59:29.436685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q348.5
95-th percentile374
Maximum649
Range649
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation131.3560764
Coefficient of variation (CV)2.014543757
Kurtosis7.281450546
Mean65.2038835
Median Absolute Deviation (MAD)8
Skewness2.714028518
Sum6716
Variance17254.41881
MonotocityNot monotonic
2021-03-18T15:59:29.534725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
021
19.6%
212
 
11.2%
17
 
6.5%
35
 
4.7%
93
 
2.8%
152
 
1.9%
62
 
1.9%
3652
 
1.9%
52
 
1.9%
142
 
1.9%
Other values (44)45
42.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
021
19.6%
17
 
6.5%
212
11.2%
35
 
4.7%
41
 
0.9%
ValueCountFrequency (%)
6491
0.9%
6081
0.9%
4951
0.9%
4201
0.9%
3971
0.9%

CGD GRENOBLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean59.60194175
Minimum0
Maximum757
Zeros25
Zeros (%)23.4%
Memory size984.0 B
2021-03-18T15:59:29.640022image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q344
95-th percentile349.3
Maximum757
Range757
Interquartile range (IQR)43

Descriptive statistics

Standard deviation132.6456536
Coefficient of variation (CV)2.225525707
Kurtosis11.94857862
Mean59.60194175
Median Absolute Deviation (MAD)6
Skewness3.347246611
Sum6139
Variance17594.86941
MonotocityNot monotonic
2021-03-18T15:59:29.739217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
025
23.4%
115
 
14.0%
34
 
3.7%
24
 
3.7%
193
 
2.8%
132
 
1.9%
172
 
1.9%
52
 
1.9%
112
 
1.9%
122
 
1.9%
Other values (38)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
025
23.4%
115
14.0%
24
 
3.7%
34
 
3.7%
52
 
1.9%
ValueCountFrequency (%)
7571
0.9%
6241
0.9%
5111
0.9%
4771
0.9%
4631
0.9%

CGD LA MURE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean26.51456311
Minimum0
Maximum314
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:29.839795image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q320
95-th percentile113.2
Maximum314
Range314
Interquartile range (IQR)20

Descriptive statistics

Standard deviation59.73616241
Coefficient of variation (CV)2.252956693
Kurtosis12.48393323
Mean26.51456311
Median Absolute Deviation (MAD)3
Skewness3.465357792
Sum2731
Variance3568.4091
MonotocityNot monotonic
2021-03-18T15:59:29.928689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
033
30.8%
19
 
8.4%
38
 
7.5%
26
 
5.6%
73
 
2.8%
93
 
2.8%
83
 
2.8%
202
 
1.9%
352
 
1.9%
232
 
1.9%
Other values (28)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
19
 
8.4%
26
 
5.6%
38
 
7.5%
52
 
1.9%
ValueCountFrequency (%)
3141
0.9%
3011
0.9%
2831
0.9%
2151
0.9%
1941
0.9%

CGD LA TOUR DU PIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean41.97087379
Minimum0
Maximum423
Zeros30
Zeros (%)28.0%
Memory size984.0 B
2021-03-18T15:59:30.028449image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q333
95-th percentile206.4
Maximum423
Range423
Interquartile range (IQR)33

Descriptive statistics

Standard deviation86.0416516
Coefficient of variation (CV)2.050032411
Kurtosis8.771950586
Mean41.97087379
Median Absolute Deviation (MAD)5
Skewness2.945820628
Sum4323
Variance7403.16581
MonotocityNot monotonic
2021-03-18T15:59:30.126946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
030
28.0%
19
 
8.4%
27
 
6.5%
54
 
3.7%
222
 
1.9%
282
 
1.9%
272
 
1.9%
302
 
1.9%
92
 
1.9%
902
 
1.9%
Other values (38)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
030
28.0%
19
 
8.4%
27
 
6.5%
31
 
0.9%
42
 
1.9%
ValueCountFrequency (%)
4231
0.9%
3931
0.9%
3901
0.9%
3241
0.9%
2741
0.9%

CGD MEYLAN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct54
Distinct (%)52.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean84.2038835
Minimum0
Maximum869
Zeros20
Zeros (%)18.7%
Memory size984.0 B
2021-03-18T15:59:30.226219image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median11
Q360
95-th percentile542.3
Maximum869
Range869
Interquartile range (IQR)59

Descriptive statistics

Standard deviation181.2394884
Coefficient of variation (CV)2.152388712
Kurtosis9.624928266
Mean84.2038835
Median Absolute Deviation (MAD)11
Skewness3.111810824
Sum8673
Variance32847.75214
MonotocityNot monotonic
2021-03-18T15:59:30.321536image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020
18.7%
110
 
9.3%
26
 
5.6%
45
 
4.7%
284
 
3.7%
33
 
2.8%
502
 
1.9%
252
 
1.9%
62
 
1.9%
52
 
1.9%
Other values (44)47
43.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
020
18.7%
110
9.3%
26
 
5.6%
33
 
2.8%
45
 
4.7%
ValueCountFrequency (%)
8691
0.9%
8591
0.9%
8281
0.9%
6931
0.9%
5951
0.9%

CGD ST MARCELLIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean38.33980583
Minimum0
Maximum420
Zeros29
Zeros (%)27.1%
Memory size984.0 B
2021-03-18T15:59:30.420386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q334.5
95-th percentile218.7
Maximum420
Range420
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation74.73161829
Coefficient of variation (CV)1.949191361
Kurtosis9.323595514
Mean38.33980583
Median Absolute Deviation (MAD)6
Skewness2.940067513
Sum3949
Variance5584.814773
MonotocityNot monotonic
2021-03-18T15:59:30.519988image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
029
27.1%
27
 
6.5%
66
 
5.6%
15
 
4.7%
73
 
2.8%
163
 
2.8%
33
 
2.8%
43
 
2.8%
142
 
1.9%
172
 
1.9%
Other values (38)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
029
27.1%
15
 
4.7%
27
 
6.5%
33
 
2.8%
43
 
2.8%
ValueCountFrequency (%)
4201
0.9%
3071
0.9%
2851
0.9%
2731
0.9%
2531
0.9%

CGD VIENNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct53
Distinct (%)51.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean64.66990291
Minimum0
Maximum720
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T15:59:30.618569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q346
95-th percentile354.1
Maximum720
Range720
Interquartile range (IQR)45

Descriptive statistics

Standard deviation131.8942973
Coefficient of variation (CV)2.039500468
Kurtosis9.633605994
Mean64.66990291
Median Absolute Deviation (MAD)9
Skewness3.006918672
Sum6661
Variance17396.10565
MonotocityNot monotonic
2021-03-18T15:59:30.718295image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
024
22.4%
18
 
7.5%
26
 
5.6%
45
 
4.7%
94
 
3.7%
213
 
2.8%
52
 
1.9%
242
 
1.9%
462
 
1.9%
32
 
1.9%
Other values (43)45
42.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
18
 
7.5%
26
 
5.6%
32
 
1.9%
45
 
4.7%
ValueCountFrequency (%)
7201
0.9%
6051
0.9%
5351
0.9%
4711
0.9%
3651
0.9%

CGD DOLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean26.40776699
Minimum0
Maximum336
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:30.824263image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile132.6
Maximum336
Range336
Interquartile range (IQR)20

Descriptive statistics

Standard deviation51.4567088
Coefficient of variation (CV)1.948544488
Kurtosis13.08883319
Mean26.40776699
Median Absolute Deviation (MAD)2
Skewness3.162677321
Sum2720
Variance2647.79288
MonotocityNot monotonic
2021-03-18T15:59:30.922350image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
037
34.6%
111
 
10.3%
24
 
3.7%
204
 
3.7%
124
 
3.7%
163
 
2.8%
73
 
2.8%
112
 
1.9%
62
 
1.9%
52
 
1.9%
Other values (30)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
111
 
10.3%
24
 
3.7%
41
 
0.9%
52
 
1.9%
ValueCountFrequency (%)
3361
0.9%
1651
0.9%
1641
0.9%
1601
0.9%
1451
0.9%

CGD LONS LE SAUNIER
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.04854369
Minimum0
Maximum379
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:31.019580image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q321.5
95-th percentile113.3
Maximum379
Range379
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation50.17662502
Coefficient of variation (CV)2.176997632
Kurtosis25.560609
Mean23.04854369
Median Absolute Deviation (MAD)4
Skewness4.385280319
Sum2374
Variance2517.693699
MonotocityNot monotonic
2021-03-18T15:59:31.112419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
037
34.6%
18
 
7.5%
25
 
4.7%
105
 
4.7%
123
 
2.8%
43
 
2.8%
53
 
2.8%
93
 
2.8%
62
 
1.9%
112
 
1.9%
Other values (30)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
18
 
7.5%
25
 
4.7%
31
 
0.9%
43
 
2.8%
ValueCountFrequency (%)
3791
0.9%
1801
0.9%
1681
0.9%
1261
0.9%
1211
0.9%

CGD ST CLAUDE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean16.57281553
Minimum0
Maximum199
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:31.211531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q316
95-th percentile88
Maximum199
Range199
Interquartile range (IQR)16

Descriptive statistics

Standard deviation32.86114636
Coefficient of variation (CV)1.982834256
Kurtosis13.16390429
Mean16.57281553
Median Absolute Deviation (MAD)3
Skewness3.353561029
Sum1707
Variance1079.85494
MonotocityNot monotonic
2021-03-18T15:59:31.305334image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
037
34.6%
27
 
6.5%
17
 
6.5%
44
 
3.7%
104
 
3.7%
73
 
2.8%
92
 
1.9%
212
 
1.9%
62
 
1.9%
492
 
1.9%
Other values (27)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
17
 
6.5%
27
 
6.5%
32
 
1.9%
44
 
3.7%
ValueCountFrequency (%)
1991
0.9%
1671
0.9%
1031
0.9%
1011
0.9%
901
0.9%

CGD DAX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean57.85436893
Minimum0
Maximum820
Zeros30
Zeros (%)28.0%
Memory size984.0 B
2021-03-18T15:59:31.409971image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q340
95-th percentile254.8
Maximum820
Range820
Interquartile range (IQR)40

Descriptive statistics

Standard deviation127.4711354
Coefficient of variation (CV)2.203310445
Kurtosis16.59095616
Mean57.85436893
Median Absolute Deviation (MAD)10
Skewness3.783946871
Sum5959
Variance16248.89035
MonotocityNot monotonic
2021-03-18T15:59:31.506436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
030
28.0%
36
 
5.6%
15
 
4.7%
24
 
3.7%
104
 
3.7%
43
 
2.8%
183
 
2.8%
283
 
2.8%
372
 
1.9%
192
 
1.9%
Other values (39)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
030
28.0%
15
 
4.7%
24
 
3.7%
36
 
5.6%
43
 
2.8%
ValueCountFrequency (%)
8201
0.9%
6271
0.9%
4641
0.9%
4221
0.9%
3521
0.9%

CGD MONT DE MARSAN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)35.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean17.21359223
Minimum0
Maximum240
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:31.597499image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q316
95-th percentile93.8
Maximum240
Range240
Interquartile range (IQR)16

Descriptive statistics

Standard deviation35.04720919
Coefficient of variation (CV)2.036019485
Kurtosis16.67638727
Mean17.21359223
Median Absolute Deviation (MAD)2
Skewness3.580990013
Sum1773
Variance1228.306872
MonotocityNot monotonic
2021-03-18T15:59:31.690940image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
035
32.7%
19
 
8.4%
28
 
7.5%
46
 
5.6%
94
 
3.7%
233
 
2.8%
82
 
1.9%
162
 
1.9%
222
 
1.9%
62
 
1.9%
Other values (26)30
28.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
19
 
8.4%
28
 
7.5%
32
 
1.9%
46
 
5.6%
ValueCountFrequency (%)
2401
0.9%
1321
0.9%
971
0.9%
961
0.9%
951
0.9%

CGD PARENTIS EN BORN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean25.45631068
Minimum0
Maximum311
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:31.782493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q318
95-th percentile125
Maximum311
Range311
Interquartile range (IQR)18

Descriptive statistics

Standard deviation52.93276844
Coefficient of variation (CV)2.079357418
Kurtosis11.3166475
Mean25.45631068
Median Absolute Deviation (MAD)4
Skewness3.190661854
Sum2622
Variance2801.877974
MonotocityNot monotonic
2021-03-18T15:59:31.871842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
036
33.6%
18
 
7.5%
45
 
4.7%
74
 
3.7%
113
 
2.8%
53
 
2.8%
183
 
2.8%
153
 
2.8%
83
 
2.8%
162
 
1.9%
Other values (28)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
18
 
7.5%
22
 
1.9%
31
 
0.9%
45
 
4.7%
ValueCountFrequency (%)
3111
0.9%
2231
0.9%
2141
0.9%
1841
0.9%
1801
0.9%

CGD BLOIS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean17.30097087
Minimum0
Maximum227
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:31.972640image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q316.5
95-th percentile85.9
Maximum227
Range227
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation33.06821083
Coefficient of variation (CV)1.911350009
Kurtosis16.08119887
Mean17.30097087
Median Absolute Deviation (MAD)3
Skewness3.438942384
Sum1782
Variance1093.506568
MonotocityNot monotonic
2021-03-18T15:59:32.060274image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
034
31.8%
110
 
9.3%
26
 
5.6%
35
 
4.7%
63
 
2.8%
103
 
2.8%
83
 
2.8%
163
 
2.8%
42
 
1.9%
112
 
1.9%
Other values (28)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
110
 
9.3%
26
 
5.6%
35
 
4.7%
42
 
1.9%
ValueCountFrequency (%)
2271
0.9%
1101
0.9%
1071
0.9%
961
0.9%
941
0.9%

CGD ROMORANTIN LANTHENAY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean33.25242718
Minimum0
Maximum429
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:32.154120image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q326.5
95-th percentile163.5
Maximum429
Range429
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation67.66754348
Coefficient of variation (CV)2.034965541
Kurtosis14.40891082
Mean33.25242718
Median Absolute Deviation (MAD)5
Skewness3.452144639
Sum3425
Variance4578.89644
MonotocityNot monotonic
2021-03-18T15:59:32.245738image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
027
25.2%
113
 
12.1%
55
 
4.7%
65
 
4.7%
23
 
2.8%
33
 
2.8%
113
 
2.8%
243
 
2.8%
173
 
2.8%
272
 
1.9%
Other values (33)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
113
12.1%
23
 
2.8%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
4291
0.9%
3281
0.9%
2201
0.9%
1871
0.9%
1831
0.9%

CGD VENDOME
Real number (ℝ≥0)

MISSING
ZEROS

Distinct30
Distinct (%)29.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean10.39805825
Minimum0
Maximum138
Zeros42
Zeros (%)39.3%
Memory size984.0 B
2021-03-18T15:59:32.331937image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q311
95-th percentile47.9
Maximum138
Range138
Interquartile range (IQR)11

Descriptive statistics

Standard deviation21.64795865
Coefficient of variation (CV)2.081923194
Kurtosis15.98683523
Mean10.39805825
Median Absolute Deviation (MAD)1
Skewness3.651571287
Sum1071
Variance468.6341138
MonotocityNot monotonic
2021-03-18T15:59:32.415553image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
042
39.3%
110
 
9.3%
37
 
6.5%
27
 
6.5%
143
 
2.8%
73
 
2.8%
262
 
1.9%
112
 
1.9%
42
 
1.9%
152
 
1.9%
Other values (20)23
21.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
042
39.3%
110
 
9.3%
27
 
6.5%
37
 
6.5%
42
 
1.9%
ValueCountFrequency (%)
1381
0.9%
1111
0.9%
711
0.9%
701
0.9%
571
0.9%

CGD MONTBRISON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean47.27184466
Minimum0
Maximum725
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T15:59:32.513477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q335
95-th percentile237.9
Maximum725
Range725
Interquartile range (IQR)34

Descriptive statistics

Standard deviation100.5828304
Coefficient of variation (CV)2.127753446
Kurtosis21.49868343
Mean47.27184466
Median Absolute Deviation (MAD)7
Skewness4.069695472
Sum4869
Variance10116.90577
MonotocityNot monotonic
2021-03-18T15:59:32.610313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
024
22.4%
19
 
8.4%
28
 
7.5%
34
 
3.7%
53
 
2.8%
663
 
2.8%
283
 
2.8%
353
 
2.8%
102
 
1.9%
292
 
1.9%
Other values (35)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
19
 
8.4%
28
 
7.5%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
7251
0.9%
4221
0.9%
2811
0.9%
2751
0.9%
2641
0.9%

CGD ROANNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean22.13592233
Minimum0
Maximum305
Zeros29
Zeros (%)27.1%
Memory size984.0 B
2021-03-18T15:59:32.712754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q319.5
95-th percentile103
Maximum305
Range305
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation43.65193178
Coefficient of variation (CV)1.971995164
Kurtosis17.89387613
Mean22.13592233
Median Absolute Deviation (MAD)5
Skewness3.684089991
Sum2280
Variance1905.491148
MonotocityNot monotonic
2021-03-18T15:59:32.806747image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
029
27.1%
112
 
11.2%
26
 
5.6%
104
 
3.7%
143
 
2.8%
43
 
2.8%
173
 
2.8%
93
 
2.8%
162
 
1.9%
72
 
1.9%
Other values (33)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
029
27.1%
112
11.2%
26
 
5.6%
31
 
0.9%
43
 
2.8%
ValueCountFrequency (%)
3051
0.9%
1581
0.9%
1361
0.9%
1321
0.9%
1261
0.9%

CGD ST ETIENNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean20.03883495
Minimum0
Maximum245
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:32.900239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315
95-th percentile96.8
Maximum245
Range245
Interquartile range (IQR)15

Descriptive statistics

Standard deviation42.54845504
Coefficient of variation (CV)2.12329984
Kurtosis12.83304222
Mean20.03883495
Median Absolute Deviation (MAD)2
Skewness3.3612819
Sum2064
Variance1810.371026
MonotocityNot monotonic
2021-03-18T15:59:32.997868image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
035
32.7%
111
 
10.3%
27
 
6.5%
44
 
3.7%
94
 
3.7%
33
 
2.8%
83
 
2.8%
62
 
1.9%
552
 
1.9%
182
 
1.9%
Other values (28)30
28.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
111
 
10.3%
27
 
6.5%
33
 
2.8%
44
 
3.7%
ValueCountFrequency (%)
2451
0.9%
2261
0.9%
1451
0.9%
1431
0.9%
1151
0.9%

CGD BRIOUDE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct31
Distinct (%)30.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean15.21359223
Minimum0
Maximum193
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:33.089051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q311.5
95-th percentile73.8
Maximum193
Range193
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation33.80644169
Coefficient of variation (CV)2.222120928
Kurtosis15.64400474
Mean15.21359223
Median Absolute Deviation (MAD)3
Skewness3.777524148
Sum1567
Variance1142.8755
MonotocityNot monotonic
2021-03-18T15:59:33.178573image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
035
32.7%
19
 
8.4%
27
 
6.5%
35
 
4.7%
114
 
3.7%
213
 
2.8%
93
 
2.8%
83
 
2.8%
53
 
2.8%
43
 
2.8%
Other values (21)28
26.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
19
 
8.4%
27
 
6.5%
35
 
4.7%
43
 
2.8%
ValueCountFrequency (%)
1932
1.9%
1351
0.9%
1051
0.9%
1041
0.9%
761
0.9%

CGD LE PUY EN VELAY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean15.62135922
Minimum0
Maximum242
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:33.272854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315.5
95-th percentile64.7
Maximum242
Range242
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation35.94961521
Coefficient of variation (CV)2.301311601
Kurtosis23.8292968
Mean15.62135922
Median Absolute Deviation (MAD)2
Skewness4.553299738
Sum1609
Variance1292.374833
MonotocityNot monotonic
2021-03-18T15:59:33.367472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
036
33.6%
113
 
12.1%
75
 
4.7%
104
 
3.7%
24
 
3.7%
172
 
1.9%
112
 
1.9%
122
 
1.9%
142
 
1.9%
82
 
1.9%
Other values (28)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
113
 
12.1%
24
 
3.7%
31
 
0.9%
42
 
1.9%
ValueCountFrequency (%)
2421
0.9%
2121
0.9%
1311
0.9%
701
0.9%
681
0.9%

CGD YSSINGEAUX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean22.81553398
Minimum0
Maximum337
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:33.460358image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323.5
95-th percentile124.7
Maximum337
Range337
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation49.0371503
Coefficient of variation (CV)2.149287864
Kurtosis18.62626494
Mean22.81553398
Median Absolute Deviation (MAD)3
Skewness3.871369033
Sum2350
Variance2404.642109
MonotocityNot monotonic
2021-03-18T15:59:33.554092image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
031
29.0%
112
 
11.2%
25
 
4.7%
34
 
3.7%
93
 
2.8%
123
 
2.8%
43
 
2.8%
73
 
2.8%
103
 
2.8%
113
 
2.8%
Other values (30)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
112
 
11.2%
25
 
4.7%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
3371
0.9%
2221
0.9%
1331
0.9%
1311
0.9%
1281
0.9%

CGD ANCENIS ST GEREON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean27.04854369
Minimum0
Maximum322
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:33.652271image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323.5
95-th percentile122
Maximum322
Range322
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation55.40039262
Coefficient of variation (CV)2.048183934
Kurtosis11.9753804
Mean27.04854369
Median Absolute Deviation (MAD)3
Skewness3.211961639
Sum2786
Variance3069.203503
MonotocityNot monotonic
2021-03-18T15:59:33.745165image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
037
34.6%
18
 
7.5%
37
 
6.5%
65
 
4.7%
24
 
3.7%
562
 
1.9%
102
 
1.9%
1222
 
1.9%
172
 
1.9%
622
 
1.9%
Other values (30)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
18
 
7.5%
24
 
3.7%
37
 
6.5%
42
 
1.9%
ValueCountFrequency (%)
3221
0.9%
2791
0.9%
2151
0.9%
1631
0.9%
1381
0.9%

CGD CHATEAUBRIANT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)44.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean38.19417476
Minimum0
Maximum394
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:33.847806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q337.5
95-th percentile205
Maximum394
Range394
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation75.89234613
Coefficient of variation (CV)1.987013638
Kurtosis9.118642537
Mean38.19417476
Median Absolute Deviation (MAD)5
Skewness2.922361466
Sum3934
Variance5759.648201
MonotocityNot monotonic
2021-03-18T15:59:33.955282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
035
32.7%
18
 
7.5%
25
 
4.7%
54
 
3.7%
232
 
1.9%
262
 
1.9%
692
 
1.9%
142
 
1.9%
32
 
1.9%
202
 
1.9%
Other values (36)39
36.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
18
 
7.5%
25
 
4.7%
32
 
1.9%
41
 
0.9%
ValueCountFrequency (%)
3941
0.9%
3671
0.9%
3261
0.9%
2301
0.9%
2251
0.9%

CGD NANTES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct50
Distinct (%)48.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean67.54368932
Minimum0
Maximum1326
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:34.060650image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q351.5
95-th percentile327.9
Maximum1326
Range1326
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation165.2660823
Coefficient of variation (CV)2.446802714
Kurtosis33.55275433
Mean67.54368932
Median Absolute Deviation (MAD)7
Skewness5.065632589
Sum6957
Variance27312.87797
MonotocityNot monotonic
2021-03-18T15:59:34.167976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027
25.2%
27
 
6.5%
45
 
4.7%
15
 
4.7%
34
 
3.7%
153
 
2.8%
123
 
2.8%
93
 
2.8%
162
 
1.9%
242
 
1.9%
Other values (40)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
15
 
4.7%
27
 
6.5%
34
 
3.7%
45
 
4.7%
ValueCountFrequency (%)
13261
0.9%
5421
0.9%
5031
0.9%
3971
0.9%
3651
0.9%

CGD PORNIC
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean41.17475728
Minimum0
Maximum472
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:34.270670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q329.5
95-th percentile216.9
Maximum472
Range472
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation85.72372715
Coefficient of variation (CV)2.081948573
Kurtosis10.86284771
Mean41.17475728
Median Absolute Deviation (MAD)5
Skewness3.165527508
Sum4241
Variance7348.557396
MonotocityNot monotonic
2021-03-18T15:59:34.370136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
033
30.8%
16
 
5.6%
26
 
5.6%
44
 
3.7%
73
 
2.8%
93
 
2.8%
213
 
2.8%
82
 
1.9%
172
 
1.9%
32
 
1.9%
Other values (38)39
36.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
16
 
5.6%
26
 
5.6%
32
 
1.9%
44
 
3.7%
ValueCountFrequency (%)
4721
0.9%
4261
0.9%
3371
0.9%
2871
0.9%
2681
0.9%

CGD REZE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct54
Distinct (%)52.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean101.6893204
Minimum0
Maximum1465
Zeros20
Zeros (%)18.7%
Memory size984.0 B
2021-03-18T15:59:34.472918image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q378.5
95-th percentile526.4
Maximum1465
Range1465
Interquartile range (IQR)77.5

Descriptive statistics

Standard deviation218.7856427
Coefficient of variation (CV)2.151510521
Kurtosis16.78259118
Mean101.6893204
Median Absolute Deviation (MAD)9
Skewness3.686777704
Sum10474
Variance47867.15743
MonotocityNot monotonic
2021-03-18T15:59:34.575199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020
18.7%
17
 
6.5%
27
 
6.5%
35
 
4.7%
94
 
3.7%
43
 
2.8%
83
 
2.8%
72
 
1.9%
352
 
1.9%
542
 
1.9%
Other values (44)48
44.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
020
18.7%
17
 
6.5%
27
 
6.5%
35
 
4.7%
43
 
2.8%
ValueCountFrequency (%)
14651
0.9%
8901
0.9%
8751
0.9%
5521
0.9%
5511
0.9%

CGD ST NAZAIRE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean52.33009709
Minimum0
Maximum521
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:34.681605image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q354
95-th percentile255.8
Maximum521
Range521
Interquartile range (IQR)54

Descriptive statistics

Standard deviation99.17378175
Coefficient of variation (CV)1.89515761
Kurtosis7.37603556
Mean52.33009709
Median Absolute Deviation (MAD)8
Skewness2.661493039
Sum5390
Variance9835.438987
MonotocityNot monotonic
2021-03-18T15:59:34.785835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
027
25.2%
211
 
10.3%
16
 
5.6%
33
 
2.8%
173
 
2.8%
83
 
2.8%
53
 
2.8%
232
 
1.9%
132
 
1.9%
262
 
1.9%
Other values (39)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
16
 
5.6%
211
10.3%
33
 
2.8%
41
 
0.9%
ValueCountFrequency (%)
5211
0.9%
4221
0.9%
3931
0.9%
3271
0.9%
3141
0.9%

CGD GIEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)37.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean22.74757282
Minimum0
Maximum300
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:34.882976image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q323
95-th percentile95.7
Maximum300
Range300
Interquartile range (IQR)23

Descriptive statistics

Standard deviation46.50146918
Coefficient of variation (CV)2.044238722
Kurtosis15.88474956
Mean22.74757282
Median Absolute Deviation (MAD)4
Skewness3.62134746
Sum2343
Variance2162.386636
MonotocityNot monotonic
2021-03-18T15:59:34.974055image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
034
31.8%
27
 
6.5%
17
 
6.5%
55
 
4.7%
323
 
2.8%
33
 
2.8%
83
 
2.8%
92
 
1.9%
62
 
1.9%
112
 
1.9%
Other values (29)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
17
 
6.5%
27
 
6.5%
33
 
2.8%
41
 
0.9%
ValueCountFrequency (%)
3001
0.9%
2311
0.9%
1651
0.9%
1261
0.9%
1201
0.9%

CGD MONTARGIS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)37.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean21.33980583
Minimum0
Maximum269
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:35.072983image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile85.9
Maximum269
Range269
Interquartile range (IQR)20

Descriptive statistics

Standard deviation42.30805639
Coefficient of variation (CV)1.98258863
Kurtosis13.39430389
Mean21.33980583
Median Absolute Deviation (MAD)2
Skewness3.309765296
Sum2198
Variance1789.971635
MonotocityNot monotonic
2021-03-18T15:59:35.169567image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
033
30.8%
210
 
9.3%
19
 
8.4%
104
 
3.7%
63
 
2.8%
43
 
2.8%
82
 
1.9%
162
 
1.9%
202
 
1.9%
32
 
1.9%
Other values (29)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
19
 
8.4%
210
 
9.3%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
2691
0.9%
1701
0.9%
1651
0.9%
1471
0.9%
1111
0.9%

CGD ORLEANS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct50
Distinct (%)48.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean44.91262136
Minimum0
Maximum644
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T15:59:35.268242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q338.5
95-th percentile249.6
Maximum644
Range644
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation93.27138422
Coefficient of variation (CV)2.076729912
Kurtosis17.52695581
Mean44.91262136
Median Absolute Deviation (MAD)6
Skewness3.685757327
Sum4626
Variance8699.551114
MonotocityNot monotonic
2021-03-18T15:59:35.368326image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
028
26.2%
17
 
6.5%
26
 
5.6%
36
 
5.6%
92
 
1.9%
272
 
1.9%
82
 
1.9%
402
 
1.9%
102
 
1.9%
302
 
1.9%
Other values (40)44
41.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
17
 
6.5%
26
 
5.6%
36
 
5.6%
42
 
1.9%
ValueCountFrequency (%)
6441
0.9%
3421
0.9%
3031
0.9%
2681
0.9%
2621
0.9%

CGD PITHIVIERS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean28.29126214
Minimum0
Maximum378
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:35.469899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q323
95-th percentile132.8
Maximum378
Range378
Interquartile range (IQR)23

Descriptive statistics

Standard deviation57.83743802
Coefficient of variation (CV)2.044356938
Kurtosis15.6092218
Mean28.29126214
Median Absolute Deviation (MAD)6
Skewness3.558979626
Sum2914
Variance3345.169237
MonotocityNot monotonic
2021-03-18T15:59:36.608066image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
033
30.8%
17
 
6.5%
25
 
4.7%
95
 
4.7%
64
 
3.7%
233
 
2.8%
43
 
2.8%
72
 
1.9%
212
 
1.9%
132
 
1.9%
Other values (33)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
17
 
6.5%
25
 
4.7%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
3781
0.9%
2741
0.9%
1821
0.9%
1541
0.9%
1501
0.9%

CGD CAHORS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct31
Distinct (%)30.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean12.95145631
Minimum0
Maximum186
Zeros42
Zeros (%)39.3%
Memory size984.0 B
2021-03-18T15:59:36.703981image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q312
95-th percentile72.3
Maximum186
Range186
Interquartile range (IQR)12

Descriptive statistics

Standard deviation27.31241858
Coefficient of variation (CV)2.10882992
Kurtosis16.66354451
Mean12.95145631
Median Absolute Deviation (MAD)2
Skewness3.621095699
Sum1334
Variance745.9682086
MonotocityNot monotonic
2021-03-18T15:59:36.787913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
042
39.3%
19
 
8.4%
46
 
5.6%
74
 
3.7%
134
 
3.7%
33
 
2.8%
23
 
2.8%
83
 
2.8%
102
 
1.9%
122
 
1.9%
Other values (21)25
23.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
042
39.3%
19
 
8.4%
23
 
2.8%
33
 
2.8%
46
 
5.6%
ValueCountFrequency (%)
1861
0.9%
971
0.9%
871
0.9%
851
0.9%
801
0.9%

CGD FIGEAC
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)35.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean16.13592233
Minimum0
Maximum220
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:36.882045image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q314.5
95-th percentile79.8
Maximum220
Range220
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation32.32950711
Coefficient of variation (CV)2.003573546
Kurtosis17.24522282
Mean16.13592233
Median Absolute Deviation (MAD)4
Skewness3.705628028
Sum1662
Variance1045.19703
MonotocityNot monotonic
2021-03-18T15:59:36.966756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
034
31.8%
27
 
6.5%
15
 
4.7%
105
 
4.7%
45
 
4.7%
74
 
3.7%
94
 
3.7%
34
 
3.7%
143
 
2.8%
112
 
1.9%
Other values (26)30
28.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
15
 
4.7%
27
 
6.5%
34
 
3.7%
45
 
4.7%
ValueCountFrequency (%)
2201
0.9%
1401
0.9%
1061
0.9%
921
0.9%
881
0.9%

CGD GOURDON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)33.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean12.50485437
Minimum0
Maximum165
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:37.053600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q310.5
95-th percentile70.3
Maximum165
Range165
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation26.01503102
Coefficient of variation (CV)2.080394561
Kurtosis14.05338736
Mean12.50485437
Median Absolute Deviation (MAD)2
Skewness3.467712551
Sum1288
Variance676.7818389
MonotocityNot monotonic
2021-03-18T15:59:37.140347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
034
31.8%
116
15.0%
45
 
4.7%
75
 
4.7%
25
 
4.7%
33
 
2.8%
202
 
1.9%
82
 
1.9%
302
 
1.9%
92
 
1.9%
Other values (24)27
25.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
116
15.0%
25
 
4.7%
33
 
2.8%
45
 
4.7%
ValueCountFrequency (%)
1651
0.9%
1061
0.9%
1041
0.9%
831
0.9%
821
0.9%

CGD AGEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.7184466
Minimum0
Maximum287
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:37.232159image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q322
95-th percentile120.9
Maximum287
Range287
Interquartile range (IQR)22

Descriptive statistics

Standard deviation50.14184145
Coefficient of variation (CV)2.114044073
Kurtosis11.49284544
Mean23.7184466
Median Absolute Deviation (MAD)3
Skewness3.264778614
Sum2443
Variance2514.204264
MonotocityNot monotonic
2021-03-18T15:59:37.319987image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
036
33.6%
19
 
8.4%
35
 
4.7%
24
 
3.7%
84
 
3.7%
133
 
2.8%
73
 
2.8%
112
 
1.9%
62
 
1.9%
262
 
1.9%
Other values (27)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
19
 
8.4%
24
 
3.7%
35
 
4.7%
51
 
0.9%
ValueCountFrequency (%)
2871
0.9%
2301
0.9%
2111
0.9%
1741
0.9%
1481
0.9%

CGD MARMANDE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean36.31067961
Minimum0
Maximum413
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:37.418148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q330.5
95-th percentile196.2
Maximum413
Range413
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation75.88510783
Coefficient of variation (CV)2.089883986
Kurtosis11.15243457
Mean36.31067961
Median Absolute Deviation (MAD)4
Skewness3.203858865
Sum3740
Variance5758.549591
MonotocityNot monotonic
2021-03-18T15:59:37.511474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
031
29.0%
19
 
8.4%
26
 
5.6%
35
 
4.7%
283
 
2.8%
43
 
2.8%
53
 
2.8%
162
 
1.9%
432
 
1.9%
312
 
1.9%
Other values (35)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
19
 
8.4%
26
 
5.6%
35
 
4.7%
43
 
2.8%
ValueCountFrequency (%)
4131
0.9%
3951
0.9%
2771
0.9%
2681
0.9%
2081
0.9%

CGD VILLENEUVE SUR LOT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)33.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean16.9223301
Minimum0
Maximum223
Zeros42
Zeros (%)39.3%
Memory size984.0 B
2021-03-18T15:59:37.604795image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314.5
95-th percentile79.3
Maximum223
Range223
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation36.91741959
Coefficient of variation (CV)2.181580159
Kurtosis13.53048254
Mean16.9223301
Median Absolute Deviation (MAD)2
Skewness3.464082016
Sum1743
Variance1362.895869
MonotocityNot monotonic
2021-03-18T15:59:37.690311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
042
39.3%
18
 
7.5%
27
 
6.5%
44
 
3.7%
84
 
3.7%
552
 
1.9%
92
 
1.9%
62
 
1.9%
162
 
1.9%
142
 
1.9%
Other values (24)28
26.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
042
39.3%
18
 
7.5%
27
 
6.5%
31
 
0.9%
44
 
3.7%
ValueCountFrequency (%)
2231
0.9%
1651
0.9%
1631
0.9%
1291
0.9%
881
0.9%

CGD FLORAC TROIS RIVIERES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct22
Distinct (%)21.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean4.54368932
Minimum0
Maximum41
Zeros54
Zeros (%)50.5%
Memory size984.0 B
2021-03-18T15:59:37.774375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile24.8
Maximum41
Range41
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.62824443
Coefficient of variation (CV)1.898951231
Kurtosis5.244449896
Mean4.54368932
Median Absolute Deviation (MAD)0
Skewness2.371383417
Sum468
Variance74.44660194
MonotocityNot monotonic
2021-03-18T15:59:37.849665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
054
50.5%
19
 
8.4%
27
 
6.5%
44
 
3.7%
84
 
3.7%
34
 
3.7%
53
 
2.8%
202
 
1.9%
262
 
1.9%
62
 
1.9%
Other values (12)12
 
11.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
054
50.5%
19
 
8.4%
27
 
6.5%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
411
0.9%
371
0.9%
311
0.9%
262
1.9%
251
0.9%

CGD MENDE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)35.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean12.41747573
Minimum0
Maximum173
Zeros40
Zeros (%)37.4%
Memory size984.0 B
2021-03-18T15:59:37.933200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310.5
95-th percentile67.5
Maximum173
Range173
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation25.32321429
Coefficient of variation (CV)2.039320619
Kurtosis16.60549889
Mean12.41747573
Median Absolute Deviation (MAD)1
Skewness3.581971405
Sum1279
Variance641.2651818
MonotocityNot monotonic
2021-03-18T15:59:38.022601image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
040
37.4%
112
 
11.2%
85
 
4.7%
25
 
4.7%
93
 
2.8%
53
 
2.8%
103
 
2.8%
122
 
1.9%
32
 
1.9%
72
 
1.9%
Other values (26)26
24.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
040
37.4%
112
 
11.2%
25
 
4.7%
32
 
1.9%
41
 
0.9%
ValueCountFrequency (%)
1731
0.9%
941
0.9%
761
0.9%
751
0.9%
711
0.9%

CGD ANGERS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct50
Distinct (%)48.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean48.03883495
Minimum0
Maximum528
Zeros26
Zeros (%)24.3%
Memory size984.0 B
2021-03-18T15:59:38.121448image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median7
Q346
95-th percentile281.5
Maximum528
Range528
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation92.51390169
Coefficient of variation (CV)1.925814849
Kurtosis8.737233062
Mean48.03883495
Median Absolute Deviation (MAD)7
Skewness2.809215579
Sum4948
Variance8558.822006
MonotocityNot monotonic
2021-03-18T15:59:38.224684image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
026
24.3%
112
 
11.2%
26
 
5.6%
43
 
2.8%
73
 
2.8%
172
 
1.9%
112
 
1.9%
92
 
1.9%
32
 
1.9%
132
 
1.9%
Other values (40)43
40.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
026
24.3%
112
11.2%
26
 
5.6%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
5281
0.9%
3681
0.9%
3171
0.9%
2871
0.9%
2861
0.9%

CGD CHOLET
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean32.7184466
Minimum0
Maximum375
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:38.324251image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q327.5
95-th percentile173.2
Maximum375
Range375
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation64.22012046
Coefficient of variation (CV)1.962810803
Kurtosis11.00957974
Mean32.7184466
Median Absolute Deviation (MAD)5
Skewness3.07768237
Sum3370
Variance4124.223872
MonotocityNot monotonic
2021-03-18T15:59:38.423053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
035
32.7%
15
 
4.7%
25
 
4.7%
143
 
2.8%
33
 
2.8%
53
 
2.8%
63
 
2.8%
43
 
2.8%
72
 
1.9%
152
 
1.9%
Other values (38)39
36.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
15
 
4.7%
25
 
4.7%
33
 
2.8%
43
 
2.8%
ValueCountFrequency (%)
3751
0.9%
3111
0.9%
2271
0.9%
1831
0.9%
1791
0.9%

CGD SAUMUR
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean30.40776699
Minimum0
Maximum353
Zeros29
Zeros (%)27.1%
Memory size984.0 B
2021-03-18T15:59:38.524475image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q329.5
95-th percentile118.6
Maximum353
Range353
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation58.97763566
Coefficient of variation (CV)1.939558261
Kurtosis12.36315091
Mean30.40776699
Median Absolute Deviation (MAD)4
Skewness3.201531278
Sum3132
Variance3478.361508
MonotocityNot monotonic
2021-03-18T15:59:38.619410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
029
27.1%
111
 
10.3%
28
 
7.5%
45
 
4.7%
33
 
2.8%
193
 
2.8%
132
 
1.9%
122
 
1.9%
272
 
1.9%
212
 
1.9%
Other values (32)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
029
27.1%
111
 
10.3%
28
 
7.5%
33
 
2.8%
45
 
4.7%
ValueCountFrequency (%)
3531
0.9%
3001
0.9%
1971
0.9%
1741
0.9%
1651
0.9%

CGD SEGRE EN ANJOU BLEU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean25.41747573
Minimum0
Maximum282
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:38.718342image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q324.5
95-th percentile134
Maximum282
Range282
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation47.45059852
Coefficient of variation (CV)1.866849369
Kurtosis9.635072646
Mean25.41747573
Median Absolute Deviation (MAD)4
Skewness2.841192333
Sum2618
Variance2251.559299
MonotocityNot monotonic
2021-03-18T15:59:38.809630image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
033
30.8%
27
 
6.5%
16
 
5.6%
35
 
4.7%
84
 
3.7%
64
 
3.7%
43
 
2.8%
152
 
1.9%
232
 
1.9%
192
 
1.9%
Other values (34)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
16
 
5.6%
27
 
6.5%
35
 
4.7%
43
 
2.8%
ValueCountFrequency (%)
2821
0.9%
2001
0.9%
1451
0.9%
1391
0.9%
1371
0.9%

CGD AVRANCHES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean25.33980583
Minimum0
Maximum353
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:38.905478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q323
95-th percentile102.6
Maximum353
Range353
Interquartile range (IQR)23

Descriptive statistics

Standard deviation53.07570498
Coefficient of variation (CV)2.094558472
Kurtosis17.86809549
Mean25.33980583
Median Absolute Deviation (MAD)4
Skewness3.831301018
Sum2610
Variance2817.030459
MonotocityNot monotonic
2021-03-18T15:59:38.999058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
035
32.7%
19
 
8.4%
24
 
3.7%
63
 
2.8%
43
 
2.8%
183
 
2.8%
122
 
1.9%
992
 
1.9%
152
 
1.9%
52
 
1.9%
Other values (31)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
19
 
8.4%
24
 
3.7%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
3531
0.9%
2661
0.9%
1731
0.9%
1641
0.9%
1271
0.9%

CGD CHERBOURG EN COTENTIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean22.21359223
Minimum0
Maximum288
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:39.098176image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q321
95-th percentile108.8
Maximum288
Range288
Interquartile range (IQR)21

Descriptive statistics

Standard deviation45.27598387
Coefficient of variation (CV)2.038210812
Kurtosis14.23650894
Mean22.21359223
Median Absolute Deviation (MAD)3
Skewness3.473681074
Sum2288
Variance2049.914715
MonotocityNot monotonic
2021-03-18T15:59:39.190286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
035
32.7%
18
 
7.5%
25
 
4.7%
35
 
4.7%
114
 
3.7%
43
 
2.8%
293
 
2.8%
142
 
1.9%
332
 
1.9%
132
 
1.9%
Other values (31)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
18
 
7.5%
25
 
4.7%
35
 
4.7%
43
 
2.8%
ValueCountFrequency (%)
2881
0.9%
2001
0.9%
1651
0.9%
1481
0.9%
1401
0.9%

CGD COUTANCES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean15.39805825
Minimum0
Maximum204
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:39.287190image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315
95-th percentile66.6
Maximum204
Range204
Interquartile range (IQR)15

Descriptive statistics

Standard deviation29.78693614
Coefficient of variation (CV)1.934460544
Kurtosis17.15197696
Mean15.39805825
Median Absolute Deviation (MAD)2
Skewness3.632104996
Sum1586
Variance887.2615648
MonotocityNot monotonic
2021-03-18T15:59:39.382408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
034
31.8%
110
 
9.3%
28
 
7.5%
94
 
3.7%
34
 
3.7%
113
 
2.8%
62
 
1.9%
52
 
1.9%
202
 
1.9%
542
 
1.9%
Other values (27)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
110
 
9.3%
28
 
7.5%
34
 
3.7%
52
 
1.9%
ValueCountFrequency (%)
2041
0.9%
1211
0.9%
1121
0.9%
811
0.9%
791
0.9%

CGD ST LO
Real number (ℝ≥0)

MISSING
ZEROS

Distinct31
Distinct (%)30.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean13.96116505
Minimum0
Maximum193
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:39.479934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q314
95-th percentile55.8
Maximum193
Range193
Interquartile range (IQR)14

Descriptive statistics

Standard deviation28.86646821
Coefficient of variation (CV)2.067626026
Kurtosis18.83853021
Mean13.96116505
Median Absolute Deviation (MAD)3
Skewness3.915709274
Sum1438
Variance833.2729869
MonotocityNot monotonic
2021-03-18T15:59:39.570241image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
038
35.5%
17
 
6.5%
76
 
5.6%
36
 
5.6%
25
 
4.7%
93
 
2.8%
103
 
2.8%
242
 
1.9%
482
 
1.9%
502
 
1.9%
Other values (21)29
27.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
17
 
6.5%
25
 
4.7%
36
 
5.6%
42
 
1.9%
ValueCountFrequency (%)
1931
0.9%
1521
0.9%
931
0.9%
781
0.9%
562
1.9%

CGD CHALONS EN CHAMPAGNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)33.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean14.97087379
Minimum0
Maximum188
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:39.664713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q315.5
95-th percentile62.6
Maximum188
Range188
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation29.66362277
Coefficient of variation (CV)1.981422273
Kurtosis14.98788099
Mean14.97087379
Median Absolute Deviation (MAD)3
Skewness3.516897832
Sum1542
Variance879.9305159
MonotocityNot monotonic
2021-03-18T15:59:39.753386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
038
35.5%
19
 
8.4%
86
 
5.6%
44
 
3.7%
54
 
3.7%
33
 
2.8%
23
 
2.8%
272
 
1.9%
192
 
1.9%
92
 
1.9%
Other values (24)30
28.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
19
 
8.4%
23
 
2.8%
33
 
2.8%
44
 
3.7%
ValueCountFrequency (%)
1881
0.9%
1441
0.9%
1231
0.9%
701
0.9%
641
0.9%

CGD EPERNAY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean28.66019417
Minimum0
Maximum291
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:39.849907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q321
95-th percentile151.8
Maximum291
Range291
Interquartile range (IQR)21

Descriptive statistics

Standard deviation56.76966765
Coefficient of variation (CV)1.980784474
Kurtosis8.664540067
Mean28.66019417
Median Absolute Deviation (MAD)2
Skewness2.862221066
Sum2952
Variance3222.795165
MonotocityNot monotonic
2021-03-18T15:59:39.942040image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
035
32.7%
29
 
8.4%
18
 
7.5%
213
 
2.8%
32
 
1.9%
132
 
1.9%
392
 
1.9%
1322
 
1.9%
102
 
1.9%
182
 
1.9%
Other values (31)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
18
 
7.5%
29
 
8.4%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
2911
0.9%
2821
0.9%
2121
0.9%
1981
0.9%
1571
0.9%

CGD REIMS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean28.17475728
Minimum0
Maximum266
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:40.037056image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q320.5
95-th percentile151.8
Maximum266
Range266
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation55.20397598
Coefficient of variation (CV)1.95934167
Kurtosis6.281006127
Mean28.17475728
Median Absolute Deviation (MAD)3
Skewness2.553473059
Sum2902
Variance3047.478964
MonotocityNot monotonic
2021-03-18T15:59:40.135218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
035
32.7%
27
 
6.5%
37
 
6.5%
16
 
5.6%
183
 
2.8%
83
 
2.8%
53
 
2.8%
103
 
2.8%
302
 
1.9%
62
 
1.9%
Other values (31)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
16
 
5.6%
27
 
6.5%
37
 
6.5%
41
 
0.9%
ValueCountFrequency (%)
2661
0.9%
2291
0.9%
2181
0.9%
2001
0.9%
1931
0.9%

CGD VITRY LE FRANCOIS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)37.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.38834951
Minimum0
Maximum235
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:40.227506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q319.5
95-th percentile102.6
Maximum235
Range235
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation43.95412783
Coefficient of variation (CV)1.879317213
Kurtosis7.063594122
Mean23.38834951
Median Absolute Deviation (MAD)3
Skewness2.557921885
Sum2409
Variance1931.965353
MonotocityNot monotonic
2021-03-18T15:59:40.319021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
031
29.0%
110
 
9.3%
210
 
9.3%
36
 
5.6%
104
 
3.7%
83
 
2.8%
972
 
1.9%
112
 
1.9%
912
 
1.9%
42
 
1.9%
Other values (29)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
110
 
9.3%
210
 
9.3%
36
 
5.6%
42
 
1.9%
ValueCountFrequency (%)
2351
0.9%
1861
0.9%
1721
0.9%
1291
0.9%
1181
0.9%

CGD CHAUMONT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct33
Distinct (%)32.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean9.951456311
Minimum0
Maximum109
Zeros47
Zeros (%)43.9%
Memory size984.0 B
2021-03-18T15:59:40.409503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310
95-th percentile47.7
Maximum109
Range109
Interquartile range (IQR)10

Descriptive statistics

Standard deviation18.72995851
Coefficient of variation (CV)1.882132416
Kurtosis10.28157779
Mean9.951456311
Median Absolute Deviation (MAD)1
Skewness2.939678171
Sum1025
Variance350.8113459
MonotocityNot monotonic
2021-03-18T15:59:40.500199image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
047
43.9%
18
 
7.5%
94
 
3.7%
24
 
3.7%
34
 
3.7%
103
 
2.8%
82
 
1.9%
72
 
1.9%
172
 
1.9%
62
 
1.9%
Other values (23)25
23.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
047
43.9%
18
 
7.5%
24
 
3.7%
34
 
3.7%
41
 
0.9%
ValueCountFrequency (%)
1091
0.9%
901
0.9%
621
0.9%
551
0.9%
501
0.9%

CGD LANGRES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct35
Distinct (%)34.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean12.95145631
Minimum0
Maximum163
Zeros41
Zeros (%)38.3%
Memory size984.0 B
2021-03-18T15:59:40.590655image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q314.5
95-th percentile56
Maximum163
Range163
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation24.89955454
Coefficient of variation (CV)1.922529324
Kurtosis14.10320963
Mean12.95145631
Median Absolute Deviation (MAD)1
Skewness3.299238749
Sum1334
Variance619.9878165
MonotocityNot monotonic
2021-03-18T15:59:40.681636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
041
38.3%
111
 
10.3%
44
 
3.7%
33
 
2.8%
53
 
2.8%
63
 
2.8%
102
 
1.9%
202
 
1.9%
162
 
1.9%
112
 
1.9%
Other values (25)30
28.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
041
38.3%
111
 
10.3%
22
 
1.9%
33
 
2.8%
44
 
3.7%
ValueCountFrequency (%)
1631
0.9%
1061
0.9%
801
0.9%
671
0.9%
651
0.9%

CGD ST DIZIER
Real number (ℝ≥0)

MISSING
ZEROS

Distinct30
Distinct (%)29.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean14.53398058
Minimum0
Maximum166
Zeros44
Zeros (%)41.1%
Memory size984.0 B
2021-03-18T15:59:40.776545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310.5
95-th percentile81.8
Maximum166
Range166
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation30.00320752
Coefficient of variation (CV)2.064348948
Kurtosis9.631672509
Mean14.53398058
Median Absolute Deviation (MAD)1
Skewness2.965769455
Sum1497
Variance900.1924615
MonotocityNot monotonic
2021-03-18T15:59:40.861756image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
044
41.1%
18
 
7.5%
35
 
4.7%
55
 
4.7%
64
 
3.7%
43
 
2.8%
72
 
1.9%
92
 
1.9%
842
 
1.9%
182
 
1.9%
Other values (20)26
24.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
044
41.1%
18
 
7.5%
22
 
1.9%
35
 
4.7%
43
 
2.8%
ValueCountFrequency (%)
1661
0.9%
1441
0.9%
1021
0.9%
991
0.9%
842
1.9%

CGD CHATEAU GONTIER SUR MAYENNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean31.24271845
Minimum0
Maximum511
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T15:59:40.955802image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q325
95-th percentile137.7
Maximum511
Range511
Interquartile range (IQR)24

Descriptive statistics

Standard deviation68.56176062
Coefficient of variation (CV)2.194487677
Kurtosis25.30504023
Mean31.24271845
Median Absolute Deviation (MAD)3
Skewness4.417224973
Sum3218
Variance4700.71502
MonotocityNot monotonic
2021-03-18T15:59:41.056726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
024
22.4%
116
15.0%
26
 
5.6%
36
 
5.6%
204
 
3.7%
73
 
2.8%
182
 
1.9%
342
 
1.9%
132
 
1.9%
282
 
1.9%
Other values (34)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
116
15.0%
26
 
5.6%
36
 
5.6%
42
 
1.9%
ValueCountFrequency (%)
5111
0.9%
3081
0.9%
1831
0.9%
1571
0.9%
1561
0.9%

CGD MAYENNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean26.53398058
Minimum0
Maximum350
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:41.153430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323
95-th percentile124.8
Maximum350
Range350
Interquartile range (IQR)23

Descriptive statistics

Standard deviation54.05603765
Coefficient of variation (CV)2.037238155
Kurtosis15.69994464
Mean26.53398058
Median Absolute Deviation (MAD)3
Skewness3.593219134
Sum2733
Variance2922.055207
MonotocityNot monotonic
2021-03-18T15:59:41.248493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
031
29.0%
114
13.1%
24
 
3.7%
34
 
3.7%
84
 
3.7%
183
 
2.8%
173
 
2.8%
102
 
1.9%
192
 
1.9%
242
 
1.9%
Other values (32)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
114
13.1%
24
 
3.7%
34
 
3.7%
51
 
0.9%
ValueCountFrequency (%)
3501
0.9%
2621
0.9%
1921
0.9%
1551
0.9%
1331
0.9%

CGD LUNEVILLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean18.02912621
Minimum0
Maximum193
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:41.349562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q318.5
95-th percentile95
Maximum193
Range193
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation35.3149572
Coefficient of variation (CV)1.958772532
Kurtosis10.91766981
Mean18.02912621
Median Absolute Deviation (MAD)2
Skewness3.103882494
Sum1857
Variance1247.146202
MonotocityNot monotonic
2021-03-18T15:59:41.446688image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
038
35.5%
110
 
9.3%
45
 
4.7%
24
 
3.7%
33
 
2.8%
613
 
2.8%
102
 
1.9%
232
 
1.9%
252
 
1.9%
82
 
1.9%
Other values (30)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
110
 
9.3%
24
 
3.7%
33
 
2.8%
45
 
4.7%
ValueCountFrequency (%)
1931
0.9%
1881
0.9%
1201
0.9%
1111
0.9%
1091
0.9%

CGD NANCY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)44.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean35.08737864
Minimum0
Maximum459
Zeros30
Zeros (%)28.0%
Memory size984.0 B
2021-03-18T15:59:41.548336image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q329
95-th percentile178.9
Maximum459
Range459
Interquartile range (IQR)29

Descriptive statistics

Standard deviation70.65979066
Coefficient of variation (CV)2.013823585
Kurtosis14.51630033
Mean35.08737864
Median Absolute Deviation (MAD)4
Skewness3.405470043
Sum3614
Variance4992.806016
MonotocityNot monotonic
2021-03-18T15:59:41.646484image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
030
28.0%
18
 
7.5%
36
 
5.6%
45
 
4.7%
233
 
2.8%
23
 
2.8%
152
 
1.9%
912
 
1.9%
142
 
1.9%
92
 
1.9%
Other values (36)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
030
28.0%
18
 
7.5%
23
 
2.8%
36
 
5.6%
45
 
4.7%
ValueCountFrequency (%)
4591
0.9%
3201
0.9%
2021
0.9%
1891
0.9%
1861
0.9%

CGD TOUL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)33.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean12.7961165
Minimum0
Maximum160
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:41.738407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q313
95-th percentile59
Maximum160
Range160
Interquartile range (IQR)13

Descriptive statistics

Standard deviation24.61999794
Coefficient of variation (CV)1.924021083
Kurtosis13.21463444
Mean12.7961165
Median Absolute Deviation (MAD)2
Skewness3.216380695
Sum1318
Variance606.1442985
MonotocityNot monotonic
2021-03-18T15:59:41.830379image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
038
35.5%
112
 
11.2%
25
 
4.7%
45
 
4.7%
313
 
2.8%
93
 
2.8%
103
 
2.8%
62
 
1.9%
82
 
1.9%
592
 
1.9%
Other values (24)28
26.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
112
 
11.2%
25
 
4.7%
32
 
1.9%
45
 
4.7%
ValueCountFrequency (%)
1601
0.9%
891
0.9%
841
0.9%
761
0.9%
681
0.9%

CGD VAL DE BRIEY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct35
Distinct (%)34.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean15.76699029
Minimum0
Maximum186
Zeros39
Zeros (%)36.4%
Memory size984.0 B
2021-03-18T15:59:41.926770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q313
95-th percentile78.8
Maximum186
Range186
Interquartile range (IQR)13

Descriptive statistics

Standard deviation32.27461939
Coefficient of variation (CV)2.046974013
Kurtosis11.28956968
Mean15.76699029
Median Absolute Deviation (MAD)3
Skewness3.176162632
Sum1624
Variance1041.651057
MonotocityNot monotonic
2021-03-18T15:59:42.018053image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
039
36.4%
18
 
7.5%
46
 
5.6%
55
 
4.7%
23
 
2.8%
73
 
2.8%
33
 
2.8%
83
 
2.8%
632
 
1.9%
92
 
1.9%
Other values (25)29
27.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
039
36.4%
18
 
7.5%
23
 
2.8%
33
 
2.8%
46
 
5.6%
ValueCountFrequency (%)
1861
0.9%
1581
0.9%
1141
0.9%
1101
0.9%
871
0.9%

CGD COMMERCY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.39805825
Minimum0
Maximum278
Zeros29
Zeros (%)27.1%
Memory size984.0 B
2021-03-18T15:59:42.115847image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324
95-th percentile110
Maximum278
Range278
Interquartile range (IQR)24

Descriptive statistics

Standard deviation46.75999208
Coefficient of variation (CV)1.998456093
Kurtosis12.41942998
Mean23.39805825
Median Absolute Deviation (MAD)3
Skewness3.27607179
Sum2410
Variance2186.496859
MonotocityNot monotonic
2021-03-18T15:59:42.206828image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
029
27.1%
112
 
11.2%
29
 
8.4%
44
 
3.7%
34
 
3.7%
152
 
1.9%
72
 
1.9%
1102
 
1.9%
242
 
1.9%
312
 
1.9%
Other values (33)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
029
27.1%
112
11.2%
29
 
8.4%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
2781
0.9%
2351
0.9%
1601
0.9%
1531
0.9%
1161
0.9%

CGD VERDUN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean20.51456311
Minimum0
Maximum242
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:42.301850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q320.5
95-th percentile107.3
Maximum242
Range242
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation40.01025949
Coefficient of variation (CV)1.950334466
Kurtosis12.32317606
Mean20.51456311
Median Absolute Deviation (MAD)3
Skewness3.21601663
Sum2113
Variance1600.820864
MonotocityNot monotonic
2021-03-18T15:59:42.399986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
034
31.8%
29
 
8.4%
18
 
7.5%
93
 
2.8%
53
 
2.8%
33
 
2.8%
153
 
2.8%
42
 
1.9%
102
 
1.9%
542
 
1.9%
Other values (31)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
18
 
7.5%
29
 
8.4%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
2421
0.9%
1981
0.9%
1211
0.9%
1131
0.9%
1101
0.9%

CGD LORIENT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct50
Distinct (%)48.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean59.10679612
Minimum0
Maximum662
Zeros23
Zeros (%)21.5%
Memory size984.0 B
2021-03-18T15:59:42.499705image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q351.5
95-th percentile404.6
Maximum662
Range662
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation119.9252147
Coefficient of variation (CV)2.028958132
Kurtosis8.988573723
Mean59.10679612
Median Absolute Deviation (MAD)8
Skewness2.944169378
Sum6088
Variance14382.05711
MonotocityNot monotonic
2021-03-18T15:59:42.599774image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
023
21.5%
110
 
9.3%
28
 
7.5%
34
 
3.7%
214
 
3.7%
243
 
2.8%
53
 
2.8%
82
 
1.9%
942
 
1.9%
92
 
1.9%
Other values (40)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
023
21.5%
110
9.3%
28
 
7.5%
34
 
3.7%
53
 
2.8%
ValueCountFrequency (%)
6621
0.9%
4601
0.9%
4371
0.9%
4361
0.9%
4141
0.9%

CGD PLOERMEL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean27.93203883
Minimum0
Maximum289
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:42.700171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q327
95-th percentile129.1
Maximum289
Range289
Interquartile range (IQR)27

Descriptive statistics

Standard deviation52.78057838
Coefficient of variation (CV)1.889607081
Kurtosis9.522267791
Mean27.93203883
Median Absolute Deviation (MAD)3
Skewness2.870065247
Sum2877
Variance2785.789454
MonotocityNot monotonic
2021-03-18T15:59:42.792743image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
035
32.7%
19
 
8.4%
25
 
4.7%
44
 
3.7%
203
 
2.8%
33
 
2.8%
73
 
2.8%
162
 
1.9%
62
 
1.9%
252
 
1.9%
Other values (30)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
19
 
8.4%
25
 
4.7%
33
 
2.8%
44
 
3.7%
ValueCountFrequency (%)
2891
0.9%
2691
0.9%
1891
0.9%
1391
0.9%
1351
0.9%

CGD PONTIVY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean25.01941748
Minimum0
Maximum294
Zeros29
Zeros (%)27.1%
Memory size984.0 B
2021-03-18T15:59:42.889966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q322
95-th percentile111.7
Maximum294
Range294
Interquartile range (IQR)22

Descriptive statistics

Standard deviation49.02719945
Coefficient of variation (CV)1.959565985
Kurtosis12.01217707
Mean25.01941748
Median Absolute Deviation (MAD)4
Skewness3.176648874
Sum2577
Variance2403.666286
MonotocityNot monotonic
2021-03-18T15:59:42.982046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
029
27.1%
111
 
10.3%
27
 
6.5%
125
 
4.7%
44
 
3.7%
34
 
3.7%
93
 
2.8%
53
 
2.8%
102
 
1.9%
372
 
1.9%
Other values (30)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
029
27.1%
111
 
10.3%
27
 
6.5%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
2941
0.9%
2381
0.9%
1861
0.9%
1271
0.9%
1151
0.9%

CGD VANNES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)45.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean45.12621359
Minimum0
Maximum554
Zeros29
Zeros (%)27.1%
Memory size984.0 B
2021-03-18T15:59:43.080662image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q346
95-th percentile254.3
Maximum554
Range554
Interquartile range (IQR)46

Descriptive statistics

Standard deviation89.56164266
Coefficient of variation (CV)1.984692167
Kurtosis11.7323863
Mean45.12621359
Median Absolute Deviation (MAD)6
Skewness3.134355212
Sum4648
Variance8021.287836
MonotocityNot monotonic
2021-03-18T15:59:43.174710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
029
27.1%
112
 
11.2%
64
 
3.7%
94
 
3.7%
33
 
2.8%
253
 
2.8%
462
 
1.9%
162
 
1.9%
22
 
1.9%
262
 
1.9%
Other values (37)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
029
27.1%
112
11.2%
22
 
1.9%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
5541
0.9%
3591
0.9%
3001
0.9%
2921
0.9%
2631
0.9%

CGD BOULAY MOSELLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean20.30097087
Minimum0
Maximum246
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T15:59:43.269472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q318.5
95-th percentile85.3
Maximum246
Range246
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation43.31866304
Coefficient of variation (CV)2.133822235
Kurtosis15.08554042
Mean20.30097087
Median Absolute Deviation (MAD)3
Skewness3.672573113
Sum2091
Variance1876.506568
MonotocityNot monotonic
2021-03-18T15:59:43.365797image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
032
29.9%
112
 
11.2%
37
 
6.5%
44
 
3.7%
53
 
2.8%
752
 
1.9%
142
 
1.9%
252
 
1.9%
82
 
1.9%
122
 
1.9%
Other values (28)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
112
 
11.2%
22
 
1.9%
37
 
6.5%
44
 
3.7%
ValueCountFrequency (%)
2461
0.9%
2411
0.9%
1981
0.9%
1141
0.9%
1031
0.9%

CGD FORBACH
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean20.95145631
Minimum0
Maximum202
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T15:59:43.461136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q317
95-th percentile99.8
Maximum202
Range202
Interquartile range (IQR)17

Descriptive statistics

Standard deviation39.77790761
Coefficient of variation (CV)1.898574831
Kurtosis7.339547175
Mean20.95145631
Median Absolute Deviation (MAD)4
Skewness2.662363378
Sum2158
Variance1582.281934
MonotocityNot monotonic
2021-03-18T15:59:43.556191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
032
29.9%
18
 
7.5%
27
 
6.5%
85
 
4.7%
53
 
2.8%
33
 
2.8%
43
 
2.8%
123
 
2.8%
113
 
2.8%
72
 
1.9%
Other values (28)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
18
 
7.5%
27
 
6.5%
33
 
2.8%
43
 
2.8%
ValueCountFrequency (%)
2021
0.9%
1911
0.9%
1441
0.9%
1161
0.9%
1141
0.9%

CGD METZ
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean39.0776699
Minimum0
Maximum492
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T15:59:43.655890image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q326.5
95-th percentile185.6
Maximum492
Range492
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation83.93154182
Coefficient of variation (CV)2.147813368
Kurtosis12.22360268
Mean39.0776699
Median Absolute Deviation (MAD)7
Skewness3.320418589
Sum4025
Variance7044.503712
MonotocityNot monotonic
2021-03-18T15:59:43.758443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
028
26.2%
111
 
10.3%
125
 
4.7%
34
 
3.7%
24
 
3.7%
174
 
3.7%
93
 
2.8%
52
 
1.9%
42
 
1.9%
112
 
1.9%
Other values (35)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
111
 
10.3%
24
 
3.7%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
4921
0.9%
3971
0.9%
3321
0.9%
2941
0.9%
2301
0.9%

CGD SARREBOURG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct35
Distinct (%)34.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean16.14563107
Minimum0
Maximum190
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:43.853106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q314.5
95-th percentile81.8
Maximum190
Range190
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation32.62845137
Coefficient of variation (CV)2.02088424
Kurtosis14.41910867
Mean16.14563107
Median Absolute Deviation (MAD)3
Skewness3.491789316
Sum1663
Variance1064.615839
MonotocityNot monotonic
2021-03-18T15:59:43.942932image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
035
32.7%
19
 
8.4%
27
 
6.5%
45
 
4.7%
233
 
2.8%
73
 
2.8%
133
 
2.8%
53
 
2.8%
32
 
1.9%
462
 
1.9%
Other values (25)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
19
 
8.4%
27
 
6.5%
32
 
1.9%
45
 
4.7%
ValueCountFrequency (%)
1901
0.9%
1871
0.9%
931
0.9%
901
0.9%
891
0.9%

CGD SARREGUEMINES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct35
Distinct (%)34.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean13.83495146
Minimum0
Maximum177
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:44.037997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q310
95-th percentile67.8
Maximum177
Range177
Interquartile range (IQR)10

Descriptive statistics

Standard deviation27.84941901
Coefficient of variation (CV)2.012975549
Kurtosis13.45064796
Mean13.83495146
Median Absolute Deviation (MAD)3
Skewness3.343949413
Sum1425
Variance775.590139
MonotocityNot monotonic
2021-03-18T15:59:44.127620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
037
34.6%
17
 
6.5%
36
 
5.6%
55
 
4.7%
25
 
4.7%
64
 
3.7%
94
 
3.7%
83
 
2.8%
103
 
2.8%
72
 
1.9%
Other values (25)27
25.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
17
 
6.5%
25
 
4.7%
36
 
5.6%
42
 
1.9%
ValueCountFrequency (%)
1771
0.9%
1201
0.9%
991
0.9%
811
0.9%
751
0.9%

CGD THIONVILLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean37.57281553
Minimum0
Maximum422
Zeros26
Zeros (%)24.3%
Memory size984.0 B
2021-03-18T15:59:44.230060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median6
Q333.5
95-th percentile199
Maximum422
Range422
Interquartile range (IQR)33

Descriptive statistics

Standard deviation76.27653533
Coefficient of variation (CV)2.030099002
Kurtosis9.895813183
Mean37.57281553
Median Absolute Deviation (MAD)6
Skewness3.062278044
Sum3870
Variance5818.109842
MonotocityNot monotonic
2021-03-18T15:59:44.327396image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
026
24.3%
18
 
7.5%
26
 
5.6%
84
 
3.7%
44
 
3.7%
53
 
2.8%
33
 
2.8%
192
 
1.9%
72
 
1.9%
172
 
1.9%
Other values (38)43
40.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
026
24.3%
18
 
7.5%
26
 
5.6%
33
 
2.8%
44
 
3.7%
ValueCountFrequency (%)
4221
0.9%
3341
0.9%
3151
0.9%
2641
0.9%
2621
0.9%

CGD CHATEAU CHINON VILLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct30
Distinct (%)29.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean10.75728155
Minimum0
Maximum156
Zeros44
Zeros (%)41.1%
Memory size984.0 B
2021-03-18T15:59:44.420366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310.5
95-th percentile48.7
Maximum156
Range156
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation22.34641087
Coefficient of variation (CV)2.077328808
Kurtosis18.48170416
Mean10.75728155
Median Absolute Deviation (MAD)1
Skewness3.760422031
Sum1108
Variance499.3620788
MonotocityNot monotonic
2021-03-18T15:59:44.509073image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
044
41.1%
19
 
8.4%
25
 
4.7%
34
 
3.7%
54
 
3.7%
73
 
2.8%
143
 
2.8%
83
 
2.8%
112
 
1.9%
702
 
1.9%
Other values (20)24
22.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
044
41.1%
19
 
8.4%
25
 
4.7%
34
 
3.7%
41
 
0.9%
ValueCountFrequency (%)
1561
0.9%
881
0.9%
702
1.9%
551
0.9%
491
0.9%

CGD COSNE COURS SUR LOIRE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean19.3592233
Minimum0
Maximum227
Zeros40
Zeros (%)37.4%
Memory size984.0 B
2021-03-18T15:59:44.611103image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q317.5
95-th percentile99.4
Maximum227
Range227
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation36.55934053
Coefficient of variation (CV)1.888471452
Kurtosis11.01495037
Mean19.3592233
Median Absolute Deviation (MAD)3
Skewness2.987860079
Sum1994
Variance1336.58538
MonotocityNot monotonic
2021-03-18T15:59:44.703683image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
040
37.4%
17
 
6.5%
83
 
2.8%
93
 
2.8%
23
 
2.8%
133
 
2.8%
43
 
2.8%
63
 
2.8%
33
 
2.8%
122
 
1.9%
Other values (31)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
040
37.4%
17
 
6.5%
23
 
2.8%
33
 
2.8%
43
 
2.8%
ValueCountFrequency (%)
2271
0.9%
1301
0.9%
1261
0.9%
1161
0.9%
1121
0.9%

CGD NEVERS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean27.03883495
Minimum0
Maximum314
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:44.798683image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q326.5
95-th percentile121.9
Maximum314
Range314
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation53.12119372
Coefficient of variation (CV)1.964625836
Kurtosis11.61007638
Mean27.03883495
Median Absolute Deviation (MAD)2
Skewness3.126494271
Sum2785
Variance2821.861222
MonotocityNot monotonic
2021-03-18T15:59:44.894273image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
034
31.8%
110
 
9.3%
28
 
7.5%
33
 
2.8%
83
 
2.8%
62
 
1.9%
162
 
1.9%
52
 
1.9%
492
 
1.9%
112
 
1.9%
Other values (34)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
110
 
9.3%
28
 
7.5%
33
 
2.8%
41
 
0.9%
ValueCountFrequency (%)
3141
0.9%
2641
0.9%
1851
0.9%
1401
0.9%
1391
0.9%

CGD AVESNES SUR HELPE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)44.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean34.47572816
Minimum0
Maximum486
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:44.993330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q331.5
95-th percentile154.4
Maximum486
Range486
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation71.91455233
Coefficient of variation (CV)2.085947308
Kurtosis17.22616116
Mean34.47572816
Median Absolute Deviation (MAD)5
Skewness3.71613964
Sum3551
Variance5171.702836
MonotocityNot monotonic
2021-03-18T15:59:45.096441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
034
31.8%
16
 
5.6%
24
 
3.7%
104
 
3.7%
33
 
2.8%
183
 
2.8%
53
 
2.8%
172
 
1.9%
322
 
1.9%
472
 
1.9%
Other values (36)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
16
 
5.6%
24
 
3.7%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
4861
0.9%
3151
0.9%
2491
0.9%
2141
0.9%
1881
0.9%

CGD CAMBRAI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)45.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean38.52427184
Minimum0
Maximum626
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T15:59:45.196487image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q338
95-th percentile173.2
Maximum626
Range626
Interquartile range (IQR)38

Descriptive statistics

Standard deviation83.12981163
Coefficient of variation (CV)2.157855493
Kurtosis25.01097268
Mean38.52427184
Median Absolute Deviation (MAD)4
Skewness4.309830152
Sum3968
Variance6910.565582
MonotocityNot monotonic
2021-03-18T15:59:45.294266image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
032
29.9%
111
 
10.3%
25
 
4.7%
33
 
2.8%
123
 
2.8%
172
 
1.9%
492
 
1.9%
112
 
1.9%
602
 
1.9%
62
 
1.9%
Other values (37)39
36.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
111
 
10.3%
25
 
4.7%
33
 
2.8%
41
 
0.9%
ValueCountFrequency (%)
6261
0.9%
3121
0.9%
2361
0.9%
2041
0.9%
2021
0.9%

CGD DOUAI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean44.29126214
Minimum0
Maximum563
Zeros29
Zeros (%)27.1%
Memory size984.0 B
2021-03-18T15:59:45.397602image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q327
95-th percentile213.9
Maximum563
Range563
Interquartile range (IQR)27

Descriptive statistics

Standard deviation94.14138627
Coefficient of variation (CV)2.125506968
Kurtosis12.04669656
Mean44.29126214
Median Absolute Deviation (MAD)5
Skewness3.259084285
Sum4562
Variance8862.600609
MonotocityNot monotonic
2021-03-18T15:59:45.490183image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
029
27.1%
19
 
8.4%
94
 
3.7%
194
 
3.7%
34
 
3.7%
24
 
3.7%
43
 
2.8%
133
 
2.8%
53
 
2.8%
212
 
1.9%
Other values (35)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
029
27.1%
19
 
8.4%
24
 
3.7%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
5631
0.9%
4131
0.9%
3661
0.9%
3501
0.9%
2301
0.9%

CGD DUNKERQUE HOYMILLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)33.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean18.73786408
Minimum0
Maximum272
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:45.583409image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q315
95-th percentile92.7
Maximum272
Range272
Interquartile range (IQR)15

Descriptive statistics

Standard deviation40.6857785
Coefficient of variation (CV)2.171313567
Kurtosis17.34300369
Mean18.73786408
Median Absolute Deviation (MAD)3
Skewness3.759378883
Sum1930
Variance1655.332572
MonotocityNot monotonic
2021-03-18T15:59:45.677267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
035
32.7%
110
 
9.3%
26
 
5.6%
35
 
4.7%
94
 
3.7%
154
 
3.7%
44
 
3.7%
83
 
2.8%
52
 
1.9%
932
 
1.9%
Other values (24)28
26.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
110
 
9.3%
26
 
5.6%
35
 
4.7%
44
 
3.7%
ValueCountFrequency (%)
2721
0.9%
1911
0.9%
1281
0.9%
1231
0.9%
932
1.9%

CGD HAZEBROUCK
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)37.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean20.74757282
Minimum0
Maximum211
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:45.774140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q316.5
95-th percentile96.9
Maximum211
Range211
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation41.49621255
Coefficient of variation (CV)2.000051424
Kurtosis8.725793472
Mean20.74757282
Median Absolute Deviation (MAD)2
Skewness2.868738419
Sum2137
Variance1721.935656
MonotocityNot monotonic
2021-03-18T15:59:45.864831image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
033
30.8%
115
14.0%
26
 
5.6%
85
 
4.7%
93
 
2.8%
43
 
2.8%
192
 
1.9%
142
 
1.9%
242
 
1.9%
112
 
1.9%
Other values (29)30
28.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
115
14.0%
26
 
5.6%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
2111
0.9%
1981
0.9%
1841
0.9%
1311
0.9%
1151
0.9%

CGD LILLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean40.03883495
Minimum0
Maximum391
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:45.962910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q333.5
95-th percentile219.7
Maximum391
Range391
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation77.07787281
Coefficient of variation (CV)1.925077813
Kurtosis7.010754905
Mean40.03883495
Median Absolute Deviation (MAD)5
Skewness2.635296061
Sum4124
Variance5940.998477
MonotocityNot monotonic
2021-03-18T15:59:46.071516image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
031
29.0%
26
 
5.6%
36
 
5.6%
16
 
5.6%
83
 
2.8%
322
 
1.9%
1002
 
1.9%
42
 
1.9%
212
 
1.9%
252
 
1.9%
Other values (38)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
16
 
5.6%
26
 
5.6%
36
 
5.6%
42
 
1.9%
ValueCountFrequency (%)
3911
0.9%
3261
0.9%
3151
0.9%
2691
0.9%
2261
0.9%

CGD VALENCIENNES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct31
Distinct (%)30.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean12.66019417
Minimum0
Maximum144
Zeros41
Zeros (%)38.3%
Memory size984.0 B
2021-03-18T15:59:46.171555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q311
95-th percentile57.8
Maximum144
Range144
Interquartile range (IQR)11

Descriptive statistics

Standard deviation25.67044283
Coefficient of variation (CV)2.027650009
Kurtosis10.0699584
Mean12.66019417
Median Absolute Deviation (MAD)1
Skewness3.046852658
Sum1304
Variance658.9716353
MonotocityNot monotonic
2021-03-18T15:59:47.592052image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
041
38.3%
112
 
11.2%
36
 
5.6%
105
 
4.7%
53
 
2.8%
43
 
2.8%
143
 
2.8%
72
 
1.9%
92
 
1.9%
172
 
1.9%
Other values (21)24
22.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
041
38.3%
112
 
11.2%
21
 
0.9%
36
 
5.6%
43
 
2.8%
ValueCountFrequency (%)
1441
0.9%
1111
0.9%
1041
0.9%
1021
0.9%
591
0.9%

CGD BEAUVAIS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean26.81553398
Minimum0
Maximum280
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:47.689873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q323.5
95-th percentile114.4
Maximum280
Range280
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation53.63214349
Coefficient of variation (CV)2.000040108
Kurtosis9.575294058
Mean26.81553398
Median Absolute Deviation (MAD)2
Skewness2.968750799
Sum2762
Variance2876.406815
MonotocityNot monotonic
2021-03-18T15:59:47.780531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
033
30.8%
112
 
11.2%
27
 
6.5%
113
 
2.8%
43
 
2.8%
73
 
2.8%
242
 
1.9%
32
 
1.9%
232
 
1.9%
971
 
0.9%
Other values (35)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
112
 
11.2%
27
 
6.5%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
2801
0.9%
2681
0.9%
2261
0.9%
1801
0.9%
1371
0.9%

CGD CHANTILLY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean41.89320388
Minimum0
Maximum397
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:47.881171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q326.5
95-th percentile233.6
Maximum397
Range397
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation81.1963141
Coefficient of variation (CV)1.938173894
Kurtosis6.234517559
Mean41.89320388
Median Absolute Deviation (MAD)6
Skewness2.564276927
Sum4315
Variance6592.841424
MonotocityNot monotonic
2021-03-18T15:59:47.983357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
027
25.2%
29
 
8.4%
17
 
6.5%
36
 
5.6%
63
 
2.8%
242
 
1.9%
192
 
1.9%
202
 
1.9%
122
 
1.9%
212
 
1.9%
Other values (39)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
17
 
6.5%
29
 
8.4%
36
 
5.6%
41
 
0.9%
ValueCountFrequency (%)
3971
0.9%
3231
0.9%
3211
0.9%
2791
0.9%
2731
0.9%

CGD CLERMONT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean37.33009709
Minimum0
Maximum351
Zeros29
Zeros (%)27.1%
Memory size984.0 B
2021-03-18T15:59:48.087569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q328
95-th percentile217.8
Maximum351
Range351
Interquartile range (IQR)28

Descriptive statistics

Standard deviation72.03667208
Coefficient of variation (CV)1.929720995
Kurtosis6.011360564
Mean37.33009709
Median Absolute Deviation (MAD)5
Skewness2.530276353
Sum3845
Variance5189.282125
MonotocityNot monotonic
2021-03-18T15:59:48.182461image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
029
27.1%
110
 
9.3%
28
 
7.5%
84
 
3.7%
144
 
3.7%
213
 
2.8%
172
 
1.9%
42
 
1.9%
222
 
1.9%
32
 
1.9%
Other values (33)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
029
27.1%
110
 
9.3%
28
 
7.5%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
3511
0.9%
2991
0.9%
2681
0.9%
2331
0.9%
2311
0.9%

CGD COMPIEGNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean44.45631068
Minimum0
Maximum408
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:48.286974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q339
95-th percentile232.7
Maximum408
Range408
Interquartile range (IQR)39

Descriptive statistics

Standard deviation84.81257037
Coefficient of variation (CV)1.907773476
Kurtosis8.059154687
Mean44.45631068
Median Absolute Deviation (MAD)8
Skewness2.7999843
Sum4579
Variance7193.172092
MonotocityNot monotonic
2021-03-18T15:59:48.390933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
027
25.2%
29
 
8.4%
16
 
5.6%
223
 
2.8%
83
 
2.8%
143
 
2.8%
32
 
1.9%
242
 
1.9%
192
 
1.9%
392
 
1.9%
Other values (39)44
41.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
16
 
5.6%
29
 
8.4%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
4081
0.9%
3981
0.9%
3901
0.9%
2691
0.9%
2661
0.9%

CGD MERU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean46.17475728
Minimum0
Maximum446
Zeros26
Zeros (%)24.3%
Memory size984.0 B
2021-03-18T15:59:48.499820image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median9
Q343.5
95-th percentile217.9
Maximum446
Range446
Interquartile range (IQR)43

Descriptive statistics

Standard deviation85.24813001
Coefficient of variation (CV)1.846206348
Kurtosis7.405622953
Mean46.17475728
Median Absolute Deviation (MAD)9
Skewness2.648268135
Sum4756
Variance7267.24367
MonotocityNot monotonic
2021-03-18T15:59:48.596265image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
026
24.3%
17
 
6.5%
55
 
4.7%
95
 
4.7%
25
 
4.7%
123
 
2.8%
33
 
2.8%
43
 
2.8%
522
 
1.9%
252
 
1.9%
Other values (38)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
026
24.3%
17
 
6.5%
25
 
4.7%
33
 
2.8%
43
 
2.8%
ValueCountFrequency (%)
4461
0.9%
3941
0.9%
2981
0.9%
2911
0.9%
2471
0.9%

CGD SENLIS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)45.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean43.51456311
Minimum0
Maximum477
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T15:59:48.692692image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q331
95-th percentile234.7
Maximum477
Range477
Interquartile range (IQR)30

Descriptive statistics

Standard deviation84.85245142
Coefficient of variation (CV)1.949978245
Kurtosis8.655969717
Mean43.51456311
Median Absolute Deviation (MAD)8
Skewness2.828551661
Sum4482
Variance7199.938511
MonotocityNot monotonic
2021-03-18T15:59:48.795797image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
024
22.4%
110
 
9.3%
26
 
5.6%
44
 
3.7%
34
 
3.7%
53
 
2.8%
83
 
2.8%
202
 
1.9%
92
 
1.9%
112
 
1.9%
Other values (37)43
40.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
110
9.3%
26
 
5.6%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
4771
0.9%
3451
0.9%
3171
0.9%
2671
0.9%
2661
0.9%

CGD ALENCON ARGENTAN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.49514563
Minimum0
Maximum266
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:48.891965image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q325
95-th percentile106.8
Maximum266
Range266
Interquartile range (IQR)25

Descriptive statistics

Standard deviation45.57172192
Coefficient of variation (CV)1.939622875
Kurtosis11.43682209
Mean23.49514563
Median Absolute Deviation (MAD)4
Skewness3.1647351
Sum2420
Variance2076.781839
MonotocityNot monotonic
2021-03-18T15:59:48.992312image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
036
33.6%
16
 
5.6%
55
 
4.7%
45
 
4.7%
103
 
2.8%
163
 
2.8%
23
 
2.8%
32
 
1.9%
372
 
1.9%
122
 
1.9%
Other values (33)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
16
 
5.6%
23
 
2.8%
32
 
1.9%
45
 
4.7%
ValueCountFrequency (%)
2661
0.9%
2121
0.9%
1971
0.9%
1271
0.9%
1231
0.9%

CGD DOMFRONT EN POIRAIE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean18.66990291
Minimum0
Maximum205
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:49.089205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q316.5
95-th percentile101
Maximum205
Range205
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation36.14252515
Coefficient of variation (CV)1.935871082
Kurtosis9.97096904
Mean18.66990291
Median Absolute Deviation (MAD)2
Skewness2.998357165
Sum1923
Variance1306.282125
MonotocityNot monotonic
2021-03-18T15:59:49.177995image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
031
29.0%
116
15.0%
25
 
4.7%
154
 
3.7%
44
 
3.7%
453
 
2.8%
63
 
2.8%
73
 
2.8%
502
 
1.9%
82
 
1.9%
Other values (27)30
28.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
116
15.0%
25
 
4.7%
44
 
3.7%
52
 
1.9%
ValueCountFrequency (%)
2051
0.9%
1671
0.9%
1311
0.9%
1191
0.9%
1171
0.9%

CGD MORTAGNE AU PERCHE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean25.91262136
Minimum0
Maximum288
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:49.270994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q325
95-th percentile128.4
Maximum288
Range288
Interquartile range (IQR)25

Descriptive statistics

Standard deviation49.63674058
Coefficient of variation (CV)1.915543005
Kurtosis10.35763984
Mean25.91262136
Median Absolute Deviation (MAD)4
Skewness3.000597778
Sum2669
Variance2463.806016
MonotocityNot monotonic
2021-03-18T15:59:49.365154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
031
29.0%
111
 
10.3%
45
 
4.7%
64
 
3.7%
134
 
3.7%
103
 
2.8%
23
 
2.8%
53
 
2.8%
252
 
1.9%
142
 
1.9%
Other values (32)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
111
 
10.3%
23
 
2.8%
32
 
1.9%
45
 
4.7%
ValueCountFrequency (%)
2881
0.9%
2341
0.9%
1701
0.9%
1611
0.9%
1371
0.9%

CGD ARRAS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean36.04854369
Minimum0
Maximum365
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T15:59:49.466504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q330.5
95-th percentile180
Maximum365
Range365
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation73.47833863
Coefficient of variation (CV)2.038316423
Kurtosis8.878508537
Mean36.04854369
Median Absolute Deviation (MAD)4
Skewness2.945161981
Sum3713
Variance5399.066248
MonotocityNot monotonic
2021-03-18T15:59:49.565246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
032
29.9%
17
 
6.5%
26
 
5.6%
36
 
5.6%
83
 
2.8%
372
 
1.9%
182
 
1.9%
1272
 
1.9%
42
 
1.9%
252
 
1.9%
Other values (35)39
36.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
17
 
6.5%
26
 
5.6%
36
 
5.6%
42
 
1.9%
ValueCountFrequency (%)
3651
0.9%
3401
0.9%
3171
0.9%
3041
0.9%
1991
0.9%

CGD BETHUNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)35.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean19.61165049
Minimum0
Maximum225
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:49.668174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q317
95-th percentile100
Maximum225
Range225
Interquartile range (IQR)17

Descriptive statistics

Standard deviation41.19400133
Coefficient of variation (CV)2.100486206
Kurtosis10.87546313
Mean19.61165049
Median Absolute Deviation (MAD)2
Skewness3.168120692
Sum2020
Variance1696.945745
MonotocityNot monotonic
2021-03-18T15:59:49.782795image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
035
32.7%
210
 
9.3%
110
 
9.3%
66
 
5.6%
174
 
3.7%
113
 
2.8%
32
 
1.9%
42
 
1.9%
252
 
1.9%
102
 
1.9%
Other values (26)27
25.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
110
 
9.3%
210
 
9.3%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
2251
0.9%
2041
0.9%
1781
0.9%
1211
0.9%
1021
0.9%

CGD CALAIS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.58252427
Minimum0
Maximum288
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:49.897255image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q317
95-th percentile124
Maximum288
Range288
Interquartile range (IQR)17

Descriptive statistics

Standard deviation49.14574648
Coefficient of variation (CV)2.083990073
Kurtosis12.16751579
Mean23.58252427
Median Absolute Deviation (MAD)3
Skewness3.258513553
Sum2429
Variance2415.304397
MonotocityNot monotonic
2021-03-18T15:59:49.985920image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
036
33.6%
27
 
6.5%
15
 
4.7%
34
 
3.7%
103
 
2.8%
113
 
2.8%
53
 
2.8%
73
 
2.8%
452
 
1.9%
362
 
1.9%
Other values (28)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
15
 
4.7%
27
 
6.5%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
2881
0.9%
2521
0.9%
1501
0.9%
1381
0.9%
1311
0.9%

CGD ECUIRES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean26.59223301
Minimum0
Maximum278
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:50.083360image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q325
95-th percentile137
Maximum278
Range278
Interquartile range (IQR)25

Descriptive statistics

Standard deviation50.68693549
Coefficient of variation (CV)1.906080451
Kurtosis9.301859697
Mean26.59223301
Median Absolute Deviation (MAD)4
Skewness2.87453209
Sum2739
Variance2569.165429
MonotocityNot monotonic
2021-03-18T15:59:50.175762image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
035
32.7%
18
 
7.5%
25
 
4.7%
45
 
4.7%
33
 
2.8%
212
 
1.9%
92
 
1.9%
142
 
1.9%
292
 
1.9%
152
 
1.9%
Other values (34)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
18
 
7.5%
25
 
4.7%
33
 
2.8%
45
 
4.7%
ValueCountFrequency (%)
2781
0.9%
2511
0.9%
1791
0.9%
1461
0.9%
1391
0.9%

CGD ST OMER
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean27.60194175
Minimum0
Maximum340
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T15:59:50.274369image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q322.5
95-th percentile138.3
Maximum340
Range340
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation57.74119741
Coefficient of variation (CV)2.091925196
Kurtosis15.41702158
Mean27.60194175
Median Absolute Deviation (MAD)4
Skewness3.589738005
Sum2843
Variance3334.045879
MonotocityNot monotonic
2021-03-18T15:59:50.370221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
032
29.9%
110
 
9.3%
25
 
4.7%
34
 
3.7%
44
 
3.7%
134
 
3.7%
163
 
2.8%
82
 
1.9%
152
 
1.9%
102
 
1.9%
Other values (33)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
110
 
9.3%
25
 
4.7%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
3401
0.9%
3371
0.9%
1521
0.9%
1441
0.9%
1402
1.9%

CGD ST POL SUR TERNOISE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)37.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean20.24271845
Minimum0
Maximum238
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:50.467721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q319
95-th percentile96.8
Maximum238
Range238
Interquartile range (IQR)19

Descriptive statistics

Standard deviation40.01310227
Coefficient of variation (CV)1.976666443
Kurtosis11.11294734
Mean20.24271845
Median Absolute Deviation (MAD)3
Skewness3.105670189
Sum2085
Variance1601.048353
MonotocityNot monotonic
2021-03-18T15:59:50.561491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
037
34.6%
18
 
7.5%
26
 
5.6%
35
 
4.7%
54
 
3.7%
153
 
2.8%
193
 
2.8%
132
 
1.9%
112
 
1.9%
82
 
1.9%
Other values (29)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
18
 
7.5%
26
 
5.6%
35
 
4.7%
54
 
3.7%
ValueCountFrequency (%)
2381
0.9%
1751
0.9%
1571
0.9%
1331
0.9%
1011
0.9%

CGD AMBERT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct25
Distinct (%)24.3%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean7.184466019
Minimum0
Maximum98
Zeros47
Zeros (%)43.9%
Memory size984.0 B
2021-03-18T15:59:50.651094image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37.5
95-th percentile35.8
Maximum98
Range98
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation14.21249628
Coefficient of variation (CV)1.978225833
Kurtosis16.94358905
Mean7.184466019
Median Absolute Deviation (MAD)1
Skewness3.55189938
Sum740
Variance201.9950504
MonotocityNot monotonic
2021-03-18T15:59:50.737354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
047
43.9%
19
 
8.4%
58
 
7.5%
26
 
5.6%
94
 
3.7%
33
 
2.8%
202
 
1.9%
372
 
1.9%
272
 
1.9%
42
 
1.9%
Other values (15)18
 
16.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
047
43.9%
19
 
8.4%
26
 
5.6%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
981
0.9%
561
0.9%
401
0.9%
372
1.9%
361
0.9%

CGD CLERMONT FERRAND
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean28.15533981
Minimum0
Maximum401
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:50.832149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q321
95-th percentile151.6
Maximum401
Range401
Interquartile range (IQR)21

Descriptive statistics

Standard deviation59.84043444
Coefficient of variation (CV)2.125367154
Kurtosis16.5916882
Mean28.15533981
Median Absolute Deviation (MAD)4
Skewness3.655044046
Sum2900
Variance3580.877594
MonotocityNot monotonic
2021-03-18T15:59:50.933330image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
034
31.8%
110
 
9.3%
114
 
3.7%
24
 
3.7%
33
 
2.8%
133
 
2.8%
163
 
2.8%
43
 
2.8%
92
 
1.9%
52
 
1.9%
Other values (33)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
110
 
9.3%
24
 
3.7%
33
 
2.8%
43
 
2.8%
ValueCountFrequency (%)
4011
0.9%
2531
0.9%
2121
0.9%
1721
0.9%
1631
0.9%

CGD ISSOIRE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.02912621
Minimum0
Maximum321
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:51.036668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q321.5
95-th percentile113.4
Maximum321
Range321
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation46.00009725
Coefficient of variation (CV)1.997474712
Kurtosis18.12491508
Mean23.02912621
Median Absolute Deviation (MAD)3
Skewness3.706676999
Sum2372
Variance2116.008947
MonotocityNot monotonic
2021-03-18T15:59:51.130061image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
034
31.8%
111
 
10.3%
35
 
4.7%
104
 
3.7%
23
 
2.8%
53
 
2.8%
312
 
1.9%
622
 
1.9%
132
 
1.9%
152
 
1.9%
Other values (30)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
111
 
10.3%
23
 
2.8%
35
 
4.7%
53
 
2.8%
ValueCountFrequency (%)
3211
0.9%
1651
0.9%
1641
0.9%
1411
0.9%
1261
0.9%

CGD RIOM
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean28.75728155
Minimum0
Maximum343
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:51.231136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q325
95-th percentile120.5
Maximum343
Range343
Interquartile range (IQR)25

Descriptive statistics

Standard deviation59.84595683
Coefficient of variation (CV)2.081071423
Kurtosis14.26686266
Mean28.75728155
Median Absolute Deviation (MAD)4
Skewness3.497419311
Sum2962
Variance3581.538549
MonotocityNot monotonic
2021-03-18T15:59:51.330288image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
031
29.0%
113
 
12.1%
94
 
3.7%
24
 
3.7%
53
 
2.8%
33
 
2.8%
193
 
2.8%
83
 
2.8%
62
 
1.9%
72
 
1.9%
Other values (35)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
113
12.1%
24
 
3.7%
33
 
2.8%
41
 
0.9%
ValueCountFrequency (%)
3431
0.9%
3411
0.9%
2121
0.9%
1691
0.9%
1661
0.9%

CGD THIERS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean17.52427184
Minimum0
Maximum250
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:51.429562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315.5
95-th percentile86.9
Maximum250
Range250
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation36.78897018
Coefficient of variation (CV)2.099315196
Kurtosis17.51785502
Mean17.52427184
Median Absolute Deviation (MAD)2
Skewness3.72943692
Sum1805
Variance1353.428327
MonotocityNot monotonic
2021-03-18T15:59:51.527463image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
037
34.6%
112
 
11.2%
23
 
2.8%
73
 
2.8%
133
 
2.8%
43
 
2.8%
62
 
1.9%
102
 
1.9%
52
 
1.9%
162
 
1.9%
Other values (28)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
112
 
11.2%
23
 
2.8%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
2501
0.9%
1661
0.9%
1031
0.9%
971
0.9%
951
0.9%

CGD BAYONNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean20.73786408
Minimum0
Maximum320
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:51.622280image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q321
95-th percentile97.8
Maximum320
Range320
Interquartile range (IQR)21

Descriptive statistics

Standard deviation42.70095769
Coefficient of variation (CV)2.059081761
Kurtosis24.111612
Mean20.73786408
Median Absolute Deviation (MAD)3
Skewness4.216499203
Sum2136
Variance1823.371788
MonotocityNot monotonic
2021-03-18T15:59:51.714485image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
034
31.8%
29
 
8.4%
17
 
6.5%
395
 
4.7%
34
 
3.7%
143
 
2.8%
93
 
2.8%
112
 
1.9%
372
 
1.9%
212
 
1.9%
Other values (27)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
17
 
6.5%
29
 
8.4%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
3201
0.9%
1551
0.9%
1191
0.9%
1161
0.9%
1131
0.9%

CGD OLORON STE MARIE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct32
Distinct (%)31.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean13.0776699
Minimum0
Maximum196
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:51.835487image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q312
95-th percentile68.8
Maximum196
Range196
Interquartile range (IQR)12

Descriptive statistics

Standard deviation28.13263032
Coefficient of variation (CV)2.151195934
Kurtosis19.26987522
Mean13.0776699
Median Absolute Deviation (MAD)2
Skewness3.92015705
Sum1347
Variance791.4448886
MonotocityNot monotonic
2021-03-18T15:59:51.932800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
034
31.8%
117
15.9%
27
 
6.5%
104
 
3.7%
33
 
2.8%
123
 
2.8%
133
 
2.8%
112
 
1.9%
522
 
1.9%
162
 
1.9%
Other values (22)26
24.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
117
15.9%
27
 
6.5%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
1961
0.9%
1201
0.9%
921
0.9%
781
0.9%
761
0.9%

CGD ORTHEZ
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean19.90291262
Minimum0
Maximum280
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:52.029024image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q316.5
95-th percentile92.8
Maximum280
Range280
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation41.07131878
Coefficient of variation (CV)2.063583334
Kurtosis17.74162007
Mean19.90291262
Median Absolute Deviation (MAD)3
Skewness3.726183926
Sum2050
Variance1686.853227
MonotocityNot monotonic
2021-03-18T15:59:52.118050image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
038
35.5%
18
 
7.5%
64
 
3.7%
24
 
3.7%
34
 
3.7%
423
 
2.8%
323
 
2.8%
162
 
1.9%
142
 
1.9%
92
 
1.9%
Other values (28)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
18
 
7.5%
24
 
3.7%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
2801
0.9%
1891
0.9%
1151
0.9%
1111
0.9%
1021
0.9%

CGD PAU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)35.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.33009709
Minimum0
Maximum381
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:52.213804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q317.5
95-th percentile128.6
Maximum381
Range381
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation53.25657252
Coefficient of variation (CV)2.282741144
Kurtosis21.29071038
Mean23.33009709
Median Absolute Deviation (MAD)3
Skewness4.106305615
Sum2403
Variance2836.262517
MonotocityNot monotonic
2021-03-18T15:59:52.310513image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
036
33.6%
110
 
9.3%
75
 
4.7%
44
 
3.7%
24
 
3.7%
53
 
2.8%
133
 
2.8%
32
 
1.9%
152
 
1.9%
292
 
1.9%
Other values (26)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
110
 
9.3%
24
 
3.7%
32
 
1.9%
44
 
3.7%
ValueCountFrequency (%)
3811
0.9%
2091
0.9%
1681
0.9%
1601
0.9%
1401
0.9%

CGD ARGELES GAZOST
Real number (ℝ≥0)

MISSING
ZEROS

Distinct24
Distinct (%)23.3%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean6.262135922
Minimum0
Maximum94
Zeros43
Zeros (%)40.2%
Memory size984.0 B
2021-03-18T15:59:52.405269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34.5
95-th percentile37.9
Maximum94
Range94
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation13.69840492
Coefficient of variation (CV)2.18749722
Kurtosis17.73108418
Mean6.262135922
Median Absolute Deviation (MAD)1
Skewness3.772309154
Sum645
Variance187.6462974
MonotocityNot monotonic
2021-03-18T15:59:52.488017image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
043
40.2%
312
 
11.2%
111
 
10.3%
28
 
7.5%
54
 
3.7%
43
 
2.8%
72
 
1.9%
272
 
1.9%
432
 
1.9%
122
 
1.9%
Other values (14)14
 
13.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
043
40.2%
111
 
10.3%
28
 
7.5%
312
 
11.2%
43
 
2.8%
ValueCountFrequency (%)
941
0.9%
511
0.9%
432
1.9%
421
0.9%
391
0.9%

CGD BAGNERES DE BIGORRE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean15.88349515
Minimum0
Maximum203
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:52.579370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315.5
95-th percentile82.8
Maximum203
Range203
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation32.57218258
Coefficient of variation (CV)2.050693646
Kurtosis13.43181159
Mean15.88349515
Median Absolute Deviation (MAD)2
Skewness3.374359193
Sum1636
Variance1060.947078
MonotocityNot monotonic
2021-03-18T15:59:52.676893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
037
34.6%
114
 
13.1%
24
 
3.7%
73
 
2.8%
33
 
2.8%
153
 
2.8%
172
 
1.9%
42
 
1.9%
102
 
1.9%
162
 
1.9%
Other values (28)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
114
 
13.1%
24
 
3.7%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
2031
0.9%
1501
0.9%
1211
0.9%
911
0.9%
901
0.9%

CGD TARBES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean17.21359223
Minimum0
Maximum252
Zeros40
Zeros (%)37.4%
Memory size984.0 B
2021-03-18T15:59:52.779767image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q316.5
95-th percentile101.4
Maximum252
Range252
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation37.40442736
Coefficient of variation (CV)2.172958837
Kurtosis17.06895822
Mean17.21359223
Median Absolute Deviation (MAD)3
Skewness3.744308654
Sum1773
Variance1399.091186
MonotocityNot monotonic
2021-03-18T15:59:52.877243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
040
37.4%
18
 
7.5%
56
 
5.6%
134
 
3.7%
64
 
3.7%
44
 
3.7%
213
 
2.8%
23
 
2.8%
72
 
1.9%
172
 
1.9%
Other values (27)27
25.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
040
37.4%
18
 
7.5%
23
 
2.8%
31
 
0.9%
44
 
3.7%
ValueCountFrequency (%)
2521
0.9%
1551
0.9%
1211
0.9%
1161
0.9%
1131
0.9%

CGD CERET
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean36.29126214
Minimum0
Maximum390
Zeros26
Zeros (%)24.3%
Memory size984.0 B
2021-03-18T15:59:52.975911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median8
Q331
95-th percentile156.9
Maximum390
Range390
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation74.40939102
Coefficient of variation (CV)2.050339025
Kurtosis11.19937592
Mean36.29126214
Median Absolute Deviation (MAD)8
Skewness3.284790328
Sum3738
Variance5536.757472
MonotocityNot monotonic
2021-03-18T15:59:53.075518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
026
24.3%
110
 
9.3%
47
 
6.5%
194
 
3.7%
264
 
3.7%
83
 
2.8%
73
 
2.8%
133
 
2.8%
93
 
2.8%
32
 
1.9%
Other values (32)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
026
24.3%
110
 
9.3%
22
 
1.9%
32
 
1.9%
47
 
6.5%
ValueCountFrequency (%)
3901
0.9%
3581
0.9%
3341
0.9%
3131
0.9%
2321
0.9%

CGD PERPIGNAN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct50
Distinct (%)48.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean57.59223301
Minimum0
Maximum772
Zeros23
Zeros (%)21.5%
Memory size984.0 B
2021-03-18T15:59:53.184635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q346.5
95-th percentile309
Maximum772
Range772
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation125.791723
Coefficient of variation (CV)2.184178603
Kurtosis14.82850135
Mean57.59223301
Median Absolute Deviation (MAD)9
Skewness3.64047729
Sum5932
Variance15823.55759
MonotocityNot monotonic
2021-03-18T15:59:53.290540image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
023
21.5%
19
 
8.4%
35
 
4.7%
24
 
3.7%
73
 
2.8%
63
 
2.8%
183
 
2.8%
353
 
2.8%
682
 
1.9%
142
 
1.9%
Other values (40)46
43.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
023
21.5%
19
 
8.4%
24
 
3.7%
35
 
4.7%
41
 
0.9%
ValueCountFrequency (%)
7721
0.9%
6341
0.9%
4411
0.9%
4371
0.9%
3801
0.9%

CGD PRADES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)37.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean18.19417476
Minimum0
Maximum177
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:53.395781image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q316.5
95-th percentile106
Maximum177
Range177
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation34.85236601
Coefficient of variation (CV)1.915578281
Kurtosis8.499823755
Mean18.19417476
Median Absolute Deviation (MAD)4
Skewness2.895488709
Sum1874
Variance1214.687417
MonotocityNot monotonic
2021-03-18T15:59:53.489490image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
031
29.0%
111
 
10.3%
26
 
5.6%
64
 
3.7%
243
 
2.8%
43
 
2.8%
53
 
2.8%
153
 
2.8%
102
 
1.9%
202
 
1.9%
Other values (29)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
111
 
10.3%
26
 
5.6%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
1771
0.9%
1571
0.9%
1501
0.9%
1271
0.9%
1161
0.9%

CGD RIVESALTES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean44.06796117
Minimum0
Maximum533
Zeros26
Zeros (%)24.3%
Memory size984.0 B
2021-03-18T15:59:53.591641image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median6
Q334.5
95-th percentile220.1
Maximum533
Range533
Interquartile range (IQR)34

Descriptive statistics

Standard deviation91.67977754
Coefficient of variation (CV)2.080417953
Kurtosis11.16772924
Mean44.06796117
Median Absolute Deviation (MAD)6
Skewness3.172083019
Sum4539
Variance8405.181611
MonotocityNot monotonic
2021-03-18T15:59:53.697986image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
026
24.3%
19
 
8.4%
27
 
6.5%
34
 
3.7%
53
 
2.8%
83
 
2.8%
172
 
1.9%
362
 
1.9%
192
 
1.9%
182
 
1.9%
Other values (38)43
40.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
026
24.3%
19
 
8.4%
27
 
6.5%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
5331
0.9%
4161
0.9%
3432
1.9%
2461
0.9%
2221
0.9%

CGD HAGUENAU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean28.99029126
Minimum0
Maximum400
Zeros30
Zeros (%)28.0%
Memory size984.0 B
2021-03-18T15:59:53.800980image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q323
95-th percentile167.8
Maximum400
Range400
Interquartile range (IQR)23

Descriptive statistics

Standard deviation62.00118518
Coefficient of variation (CV)2.138687901
Kurtosis15.66066792
Mean28.99029126
Median Absolute Deviation (MAD)5
Skewness3.652000377
Sum2986
Variance3844.146964
MonotocityNot monotonic
2021-03-18T15:59:53.900309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
030
28.0%
19
 
8.4%
217
 
6.5%
25
 
4.7%
55
 
4.7%
143
 
2.8%
43
 
2.8%
33
 
2.8%
232
 
1.9%
492
 
1.9%
Other values (30)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
030
28.0%
19
 
8.4%
25
 
4.7%
33
 
2.8%
43
 
2.8%
ValueCountFrequency (%)
4001
0.9%
2941
0.9%
2061
0.9%
1791
0.9%
1692
1.9%

CGD MOLSHEIM
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)44.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean28.99029126
Minimum0
Maximum407
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T15:59:54.008013image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q329.5
95-th percentile139.5
Maximum407
Range407
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation60.43672678
Coefficient of variation (CV)2.084722993
Kurtosis17.2679018
Mean28.99029126
Median Absolute Deviation (MAD)4
Skewness3.753891923
Sum2986
Variance3652.597944
MonotocityNot monotonic
2021-03-18T15:59:54.112822image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
033
30.8%
111
 
10.3%
45
 
4.7%
34
 
3.7%
103
 
2.8%
23
 
2.8%
182
 
1.9%
302
 
1.9%
262
 
1.9%
222
 
1.9%
Other values (36)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
111
 
10.3%
23
 
2.8%
34
 
3.7%
45
 
4.7%
ValueCountFrequency (%)
4071
0.9%
2611
0.9%
2131
0.9%
2081
0.9%
1561
0.9%

CGD SAVERNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean22.42718447
Minimum0
Maximum281
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T15:59:54.218372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q323
95-th percentile109.4
Maximum281
Range281
Interquartile range (IQR)23

Descriptive statistics

Standard deviation44.4139622
Coefficient of variation (CV)1.980362817
Kurtosis14.26485648
Mean22.42718447
Median Absolute Deviation (MAD)4
Skewness3.439945263
Sum2310
Variance1972.600038
MonotocityNot monotonic
2021-03-18T15:59:54.311042image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
031
29.0%
110
 
9.3%
35
 
4.7%
24
 
3.7%
53
 
2.8%
103
 
2.8%
162
 
1.9%
42
 
1.9%
112
 
1.9%
132
 
1.9%
Other values (35)39
36.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
110
 
9.3%
24
 
3.7%
35
 
4.7%
42
 
1.9%
ValueCountFrequency (%)
2811
0.9%
2161
0.9%
1471
0.9%
1261
0.9%
1161
0.9%

CGD SELESTAT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean30.81553398
Minimum0
Maximum416
Zeros30
Zeros (%)28.0%
Memory size984.0 B
2021-03-18T15:59:54.412099image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q326
95-th percentile141.5
Maximum416
Range416
Interquartile range (IQR)26

Descriptive statistics

Standard deviation64.868154
Coefficient of variation (CV)2.105047216
Kurtosis16.19904389
Mean30.81553398
Median Absolute Deviation (MAD)4
Skewness3.689018688
Sum3174
Variance4207.877403
MonotocityNot monotonic
2021-03-18T15:59:54.507795image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
030
28.0%
37
 
6.5%
16
 
5.6%
25
 
4.7%
44
 
3.7%
263
 
2.8%
63
 
2.8%
643
 
2.8%
133
 
2.8%
52
 
1.9%
Other values (33)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
030
28.0%
16
 
5.6%
25
 
4.7%
37
 
6.5%
44
 
3.7%
ValueCountFrequency (%)
4161
0.9%
3321
0.9%
2031
0.9%
1951
0.9%
1791
0.9%

CGD STRASBOURG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean39.62135922
Minimum0
Maximum609
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:54.606305image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q327
95-th percentile232.9
Maximum609
Range609
Interquartile range (IQR)27

Descriptive statistics

Standard deviation88.77224841
Coefficient of variation (CV)2.240514969
Kurtosis17.97069498
Mean39.62135922
Median Absolute Deviation (MAD)5
Skewness3.817692599
Sum4081
Variance7880.512088
MonotocityNot monotonic
2021-03-18T15:59:54.705636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
027
25.2%
112
 
11.2%
46
 
5.6%
184
 
3.7%
224
 
3.7%
64
 
3.7%
53
 
2.8%
23
 
2.8%
112
 
1.9%
122
 
1.9%
Other values (34)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
112
11.2%
23
 
2.8%
31
 
0.9%
46
 
5.6%
ValueCountFrequency (%)
6091
0.9%
3241
0.9%
2991
0.9%
2781
0.9%
2751
0.9%

CGD WISSEMBOURG
Real number (ℝ≥0)

MISSING
ZEROS

Distinct30
Distinct (%)29.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean10.57281553
Minimum0
Maximum173
Zeros40
Zeros (%)37.4%
Memory size984.0 B
2021-03-18T15:59:54.802406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37.5
95-th percentile54.9
Maximum173
Range173
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation24.57545481
Coefficient of variation (CV)2.324400226
Kurtosis22.04064946
Mean10.57281553
Median Absolute Deviation (MAD)2
Skewness4.273542012
Sum1089
Variance603.9529792
MonotocityNot monotonic
2021-03-18T15:59:54.891661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
040
37.4%
111
 
10.3%
77
 
6.5%
36
 
5.6%
25
 
4.7%
43
 
2.8%
83
 
2.8%
63
 
2.8%
202
 
1.9%
112
 
1.9%
Other values (20)21
19.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
040
37.4%
111
 
10.3%
25
 
4.7%
36
 
5.6%
43
 
2.8%
ValueCountFrequency (%)
1731
0.9%
1181
0.9%
841
0.9%
671
0.9%
591
0.9%

CGD ALTKIRCH
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean19.89320388
Minimum0
Maximum332
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:54.990386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q320.5
95-th percentile95.2
Maximum332
Range332
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation43.22533585
Coefficient of variation (CV)2.172869494
Kurtosis27.24693374
Mean19.89320388
Median Absolute Deviation (MAD)3
Skewness4.517261983
Sum2049
Variance1868.429659
MonotocityNot monotonic
2021-03-18T15:59:55.084428image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
037
34.6%
19
 
8.4%
24
 
3.7%
34
 
3.7%
93
 
2.8%
63
 
2.8%
152
 
1.9%
122
 
1.9%
42
 
1.9%
282
 
1.9%
Other values (30)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
19
 
8.4%
24
 
3.7%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
3321
0.9%
1601
0.9%
1171
0.9%
1121
0.9%
1021
0.9%

CGD COLMAR
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean28.99029126
Minimum0
Maximum408
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T15:59:55.188200image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q331.5
95-th percentile164.9
Maximum408
Range408
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation59.50490096
Coefficient of variation (CV)2.052580308
Kurtosis17.33659813
Mean28.99029126
Median Absolute Deviation (MAD)6
Skewness3.700598962
Sum2986
Variance3540.833238
MonotocityNot monotonic
2021-03-18T15:59:55.291945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
034
31.8%
17
 
6.5%
34
 
3.7%
84
 
3.7%
103
 
2.8%
63
 
2.8%
42
 
1.9%
292
 
1.9%
362
 
1.9%
112
 
1.9%
Other values (35)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
17
 
6.5%
22
 
1.9%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
4081
0.9%
2351
0.9%
1811
0.9%
1781
0.9%
1721
0.9%

CGD MULHOUSE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean39.2815534
Minimum0
Maximum464
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T15:59:55.397389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q333
95-th percentile212.2
Maximum464
Range464
Interquartile range (IQR)33

Descriptive statistics

Standard deviation78.14885463
Coefficient of variation (CV)1.989454282
Kurtosis11.1064934
Mean39.2815534
Median Absolute Deviation (MAD)8
Skewness3.116858238
Sum4046
Variance6107.24348
MonotocityNot monotonic
2021-03-18T15:59:55.496504image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
028
26.2%
19
 
8.4%
84
 
3.7%
104
 
3.7%
53
 
2.8%
333
 
2.8%
203
 
2.8%
113
 
2.8%
73
 
2.8%
242
 
1.9%
Other values (35)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
19
 
8.4%
22
 
1.9%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
4641
0.9%
3601
0.9%
2531
0.9%
2471
0.9%
2301
0.9%

CGD SOULTZ GUEBWILLER
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean35.29126214
Minimum0
Maximum451
Zeros30
Zeros (%)28.0%
Memory size984.0 B
2021-03-18T15:59:55.599404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q336
95-th percentile179.3
Maximum451
Range451
Interquartile range (IQR)36

Descriptive statistics

Standard deviation72.89915558
Coefficient of variation (CV)2.065643198
Kurtosis15.58512905
Mean35.29126214
Median Absolute Deviation (MAD)5
Skewness3.616961366
Sum3635
Variance5314.286884
MonotocityNot monotonic
2021-03-18T15:59:55.699206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
030
28.0%
27
 
6.5%
17
 
6.5%
34
 
3.7%
43
 
2.8%
83
 
2.8%
462
 
1.9%
62
 
1.9%
362
 
1.9%
412
 
1.9%
Other values (38)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
030
28.0%
17
 
6.5%
27
 
6.5%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
4511
0.9%
3991
0.9%
2021
0.9%
2011
0.9%
1971
0.9%

CGD BRON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean45.37864078
Minimum0
Maximum469
Zeros29
Zeros (%)27.1%
Memory size984.0 B
2021-03-18T15:59:55.798366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q331.5
95-th percentile236.9
Maximum469
Range469
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation95.8621474
Coefficient of variation (CV)2.112494904
Kurtosis8.749396433
Mean45.37864078
Median Absolute Deviation (MAD)5
Skewness2.937729827
Sum4674
Variance9189.551304
MonotocityNot monotonic
2021-03-18T15:59:55.897580image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
029
27.1%
19
 
8.4%
35
 
4.7%
24
 
3.7%
54
 
3.7%
63
 
2.8%
93
 
2.8%
43
 
2.8%
172
 
1.9%
562
 
1.9%
Other values (35)39
36.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
029
27.1%
19
 
8.4%
24
 
3.7%
35
 
4.7%
43
 
2.8%
ValueCountFrequency (%)
4691
0.9%
4511
0.9%
4321
0.9%
3161
0.9%
3081
0.9%

CGD GIVORS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean56.75728155
Minimum0
Maximum699
Zeros26
Zeros (%)24.3%
Memory size984.0 B
2021-03-18T15:59:55.998258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median7
Q341
95-th percentile292.7
Maximum699
Range699
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation122.6171681
Coefficient of variation (CV)2.160377749
Kurtosis12.78164117
Mean56.75728155
Median Absolute Deviation (MAD)7
Skewness3.403548091
Sum5846
Variance15034.96992
MonotocityNot monotonic
2021-03-18T15:59:56.101191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
026
24.3%
110
 
9.3%
27
 
6.5%
44
 
3.7%
243
 
2.8%
73
 
2.8%
82
 
1.9%
292
 
1.9%
132
 
1.9%
32
 
1.9%
Other values (39)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
026
24.3%
110
 
9.3%
27
 
6.5%
32
 
1.9%
44
 
3.7%
ValueCountFrequency (%)
6991
0.9%
6301
0.9%
5121
0.9%
3711
0.9%
3471
0.9%

CGD L ARBRESLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct51
Distinct (%)49.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean62.01941748
Minimum0
Maximum630
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:56.210171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q352.5
95-th percentile395.6
Maximum630
Range630
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation128.7675349
Coefficient of variation (CV)2.076245475
Kurtosis8.406838069
Mean62.01941748
Median Absolute Deviation (MAD)7
Skewness2.923329389
Sum6388
Variance16581.07805
MonotocityNot monotonic
2021-03-18T15:59:56.312901image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027
25.2%
18
 
7.5%
36
 
5.6%
24
 
3.7%
63
 
2.8%
142
 
1.9%
102
 
1.9%
122
 
1.9%
72
 
1.9%
352
 
1.9%
Other values (41)45
42.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
18
 
7.5%
24
 
3.7%
36
 
5.6%
41
 
0.9%
ValueCountFrequency (%)
6301
0.9%
5951
0.9%
5531
0.9%
4411
0.9%
4091
0.9%

CGD LYON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean40.34951456
Minimum0
Maximum454
Zeros26
Zeros (%)24.3%
Memory size984.0 B
2021-03-18T15:59:56.419705image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median4
Q333
95-th percentile210.5
Maximum454
Range454
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation85.2188312
Coefficient of variation (CV)2.112016269
Kurtosis11.45264525
Mean40.34951456
Median Absolute Deviation (MAD)4
Skewness3.278580424
Sum4156
Variance7262.249191
MonotocityNot monotonic
2021-03-18T15:59:56.516818image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
026
24.3%
210
 
9.3%
19
 
8.4%
34
 
3.7%
44
 
3.7%
93
 
2.8%
163
 
2.8%
142
 
1.9%
322
 
1.9%
332
 
1.9%
Other values (35)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
026
24.3%
19
 
8.4%
210
 
9.3%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
4541
0.9%
4181
0.9%
4041
0.9%
2701
0.9%
2541
0.9%

CGD VILLEFRANCHE SUR SAONE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean43.98058252
Minimum0
Maximum577
Zeros19
Zeros (%)17.8%
Memory size984.0 B
2021-03-18T15:59:56.617998image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q335.5
95-th percentile216.6
Maximum577
Range577
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation89.25508505
Coefficient of variation (CV)2.029420256
Kurtosis14.54096227
Mean43.98058252
Median Absolute Deviation (MAD)8
Skewness3.477975489
Sum4530
Variance7966.470208
MonotocityNot monotonic
2021-03-18T15:59:56.718757image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
019
17.8%
114
 
13.1%
35
 
4.7%
45
 
4.7%
24
 
3.7%
83
 
2.8%
253
 
2.8%
143
 
2.8%
122
 
1.9%
202
 
1.9%
Other values (39)43
40.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
019
17.8%
114
13.1%
24
 
3.7%
35
 
4.7%
45
 
4.7%
ValueCountFrequency (%)
5771
0.9%
3542
1.9%
2941
0.9%
2591
0.9%
2171
0.9%

CGD LURE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean27.11650485
Minimum0
Maximum376
Zeros23
Zeros (%)21.5%
Memory size984.0 B
2021-03-18T15:59:56.823106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q325
95-th percentile131
Maximum376
Range376
Interquartile range (IQR)24

Descriptive statistics

Standard deviation57.68309314
Coefficient of variation (CV)2.127231863
Kurtosis17.29774836
Mean27.11650485
Median Absolute Deviation (MAD)4
Skewness3.807440463
Sum2793
Variance3327.339235
MonotocityNot monotonic
2021-03-18T15:59:56.922542image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
023
21.5%
114
 
13.1%
28
 
7.5%
34
 
3.7%
44
 
3.7%
133
 
2.8%
53
 
2.8%
112
 
1.9%
142
 
1.9%
1222
 
1.9%
Other values (34)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
023
21.5%
114
13.1%
28
 
7.5%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
3761
0.9%
2971
0.9%
1901
0.9%
1691
0.9%
1341
0.9%

CGD VESOUL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean29.81553398
Minimum0
Maximum434
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T15:59:57.028015image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q325
95-th percentile122.9
Maximum434
Range434
Interquartile range (IQR)25

Descriptive statistics

Standard deviation62.74282204
Coefficient of variation (CV)2.104366874
Kurtosis19.21464509
Mean29.81553398
Median Absolute Deviation (MAD)5
Skewness3.931440422
Sum3071
Variance3936.661717
MonotocityNot monotonic
2021-03-18T15:59:57.122878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
028
26.2%
112
 
11.2%
25
 
4.7%
224
 
3.7%
34
 
3.7%
133
 
2.8%
123
 
2.8%
1222
 
1.9%
252
 
1.9%
232
 
1.9%
Other values (32)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
112
11.2%
25
 
4.7%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
4341
0.9%
2781
0.9%
2331
0.9%
1821
0.9%
1331
0.9%

CGD AUTUN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct33
Distinct (%)32.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean13.69902913
Minimum0
Maximum151
Zeros39
Zeros (%)36.4%
Memory size984.0 B
2021-03-18T15:59:57.215914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q314.5
95-th percentile70
Maximum151
Range151
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation25.80501355
Coefficient of variation (CV)1.883711124
Kurtosis9.885690054
Mean13.69902913
Median Absolute Deviation (MAD)1
Skewness2.942329482
Sum1411
Variance665.8987245
MonotocityNot monotonic
2021-03-18T15:59:57.306257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
039
36.4%
113
 
12.1%
36
 
5.6%
114
 
3.7%
63
 
2.8%
82
 
1.9%
702
 
1.9%
232
 
1.9%
142
 
1.9%
52
 
1.9%
Other values (23)28
26.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
039
36.4%
113
 
12.1%
36
 
5.6%
52
 
1.9%
63
 
2.8%
ValueCountFrequency (%)
1511
0.9%
1111
0.9%
901
0.9%
812
1.9%
702
1.9%

CGD CHALON SUR SAONE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean20.96116505
Minimum0
Maximum275
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T15:59:57.401474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q317
95-th percentile119.9
Maximum275
Range275
Interquartile range (IQR)17

Descriptive statistics

Standard deviation43.52527378
Coefficient of variation (CV)2.07647207
Kurtosis13.3045989
Mean20.96116505
Median Absolute Deviation (MAD)2
Skewness3.329626714
Sum2159
Variance1894.449457
MonotocityNot monotonic
2021-03-18T15:59:57.489878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
035
32.7%
210
 
9.3%
17
 
6.5%
34
 
3.7%
44
 
3.7%
174
 
3.7%
73
 
2.8%
123
 
2.8%
622
 
1.9%
52
 
1.9%
Other values (27)29
27.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
17
 
6.5%
210
 
9.3%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
2751
0.9%
1891
0.9%
1391
0.9%
1311
0.9%
1291
0.9%

CGD CHAROLLES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean22
Minimum0
Maximum317
Zeros41
Zeros (%)38.3%
Memory size984.0 B
2021-03-18T15:59:57.585921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320.5
95-th percentile109.7
Maximum317
Range317
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation44.3835776
Coefficient of variation (CV)2.017435346
Kurtosis19.62334245
Mean22
Median Absolute Deviation (MAD)2
Skewness3.804237027
Sum2266
Variance1969.901961
MonotocityNot monotonic
2021-03-18T15:59:57.680259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
041
38.3%
27
 
6.5%
164
 
3.7%
54
 
3.7%
14
 
3.7%
133
 
2.8%
93
 
2.8%
232
 
1.9%
32
 
1.9%
152
 
1.9%
Other values (30)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
041
38.3%
14
 
3.7%
27
 
6.5%
32
 
1.9%
41
 
0.9%
ValueCountFrequency (%)
3171
0.9%
1641
0.9%
1391
0.9%
1181
0.9%
1131
0.9%

CGD LOUHANS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)33.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean16.00970874
Minimum0
Maximum161
Zeros41
Zeros (%)38.3%
Memory size984.0 B
2021-03-18T15:59:57.778130image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q312
95-th percentile71.9
Maximum161
Range161
Interquartile range (IQR)12

Descriptive statistics

Standard deviation33.50928907
Coefficient of variation (CV)2.093060506
Kurtosis9.1904387
Mean16.00970874
Median Absolute Deviation (MAD)2
Skewness3.030129154
Sum1649
Variance1122.872454
MonotocityNot monotonic
2021-03-18T15:59:57.871215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
041
38.3%
110
 
9.3%
25
 
4.7%
44
 
3.7%
114
 
3.7%
84
 
3.7%
93
 
2.8%
132
 
1.9%
1522
 
1.9%
52
 
1.9%
Other values (24)26
24.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
041
38.3%
110
 
9.3%
25
 
4.7%
32
 
1.9%
44
 
3.7%
ValueCountFrequency (%)
1611
0.9%
1522
1.9%
1331
0.9%
1251
0.9%
721
0.9%

CGD MACON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean21.58252427
Minimum0
Maximum305
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T15:59:57.972775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q315
95-th percentile112.9
Maximum305
Range305
Interquartile range (IQR)15

Descriptive statistics

Standard deviation44.84516374
Coefficient of variation (CV)2.077846093
Kurtosis16.34733479
Mean21.58252427
Median Absolute Deviation (MAD)3
Skewness3.563019492
Sum2223
Variance2011.088711
MonotocityNot monotonic
2021-03-18T15:59:58.067375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
037
34.6%
110
 
9.3%
137
 
6.5%
34
 
3.7%
43
 
2.8%
92
 
1.9%
482
 
1.9%
22
 
1.9%
142
 
1.9%
102
 
1.9%
Other values (30)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
110
 
9.3%
22
 
1.9%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
3051
0.9%
1571
0.9%
1531
0.9%
1271
0.9%
1211
0.9%

CGD LA FLECHE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct51
Distinct (%)49.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean41.10679612
Minimum0
Maximum499
Zeros26
Zeros (%)24.3%
Memory size984.0 B
2021-03-18T15:59:58.169370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median4
Q350.5
95-th percentile189.5
Maximum499
Range499
Interquartile range (IQR)50

Descriptive statistics

Standard deviation78.64525871
Coefficient of variation (CV)1.913193587
Kurtosis13.02737993
Mean41.10679612
Median Absolute Deviation (MAD)4
Skewness3.228155793
Sum4234
Variance6185.076718
MonotocityNot monotonic
2021-03-18T15:59:58.277989image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
026
24.3%
111
 
10.3%
210
 
9.3%
33
 
2.8%
43
 
2.8%
1502
 
1.9%
322
 
1.9%
242
 
1.9%
82
 
1.9%
811
 
0.9%
Other values (41)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
026
24.3%
111
10.3%
210
 
9.3%
33
 
2.8%
43
 
2.8%
ValueCountFrequency (%)
4991
0.9%
3491
0.9%
2551
0.9%
2431
0.9%
2221
0.9%

CGD LE MANS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct50
Distinct (%)48.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean58.99029126
Minimum0
Maximum1008
Zeros23
Zeros (%)21.5%
Memory size984.0 B
2021-03-18T15:59:58.385460image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q355
95-th percentile270.9
Maximum1008
Range1008
Interquartile range (IQR)54

Descriptive statistics

Standard deviation130.1781204
Coefficient of variation (CV)2.206771956
Kurtosis28.14061569
Mean58.99029126
Median Absolute Deviation (MAD)5
Skewness4.568916173
Sum6076
Variance16946.34304
MonotocityNot monotonic
2021-03-18T15:59:58.493898image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
023
21.5%
114
 
13.1%
27
 
6.5%
33
 
2.8%
53
 
2.8%
193
 
2.8%
102
 
1.9%
802
 
1.9%
82
 
1.9%
452
 
1.9%
Other values (40)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
023
21.5%
114
13.1%
27
 
6.5%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
10081
0.9%
4641
0.9%
3851
0.9%
2881
0.9%
2861
0.9%

CGD MAMERS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)37.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean22.41747573
Minimum0
Maximum284
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T15:59:58.593191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q322.5
95-th percentile101.8
Maximum284
Range284
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation45.08891527
Coefficient of variation (CV)2.011328832
Kurtosis15.21792434
Mean22.41747573
Median Absolute Deviation (MAD)2
Skewness3.496153065
Sum2309
Variance2033.01028
MonotocityNot monotonic
2021-03-18T15:59:58.683371image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
038
35.5%
111
 
10.3%
25
 
4.7%
53
 
2.8%
133
 
2.8%
242
 
1.9%
342
 
1.9%
72
 
1.9%
112
 
1.9%
82
 
1.9%
Other values (29)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
111
 
10.3%
25
 
4.7%
32
 
1.9%
53
 
2.8%
ValueCountFrequency (%)
2841
0.9%
2391
0.9%
1271
0.9%
1141
0.9%
1101
0.9%

CGD ALBERTVILLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean44.38834951
Minimum0
Maximum981
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T15:59:58.784399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q328.5
95-th percentile170.3
Maximum981
Range981
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation122.1495574
Coefficient of variation (CV)2.751838235
Kurtosis36.78678412
Mean44.38834951
Median Absolute Deviation (MAD)5
Skewness5.53492995
Sum4572
Variance14920.51437
MonotocityNot monotonic
2021-03-18T15:59:58.887570image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
032
29.9%
17
 
6.5%
25
 
4.7%
34
 
3.7%
43
 
2.8%
123
 
2.8%
53
 
2.8%
102
 
1.9%
252
 
1.9%
562
 
1.9%
Other values (34)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
17
 
6.5%
25
 
4.7%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
9811
0.9%
5591
0.9%
3281
0.9%
3151
0.9%
2381
0.9%

CGD CHAMBERY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)45.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean46.48543689
Minimum0
Maximum687
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T15:59:58.989885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q333.5
95-th percentile251.9
Maximum687
Range687
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation101.7227936
Coefficient of variation (CV)2.188272294
Kurtosis17.50288909
Mean46.48543689
Median Absolute Deviation (MAD)6
Skewness3.804354339
Sum4788
Variance10347.52675
MonotocityNot monotonic
2021-03-18T15:59:59.091480image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
027
25.2%
110
 
9.3%
34
 
3.7%
54
 
3.7%
213
 
2.8%
123
 
2.8%
103
 
2.8%
23
 
2.8%
352
 
1.9%
142
 
1.9%
Other values (37)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
110
 
9.3%
23
 
2.8%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
6871
0.9%
3911
0.9%
3801
0.9%
3711
0.9%
2791
0.9%

CGD ST JEAN DE MAURIENNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct34
Distinct (%)33.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean16.63106796
Minimum0
Maximum193
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T15:59:59.194494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q316
95-th percentile87.3
Maximum193
Range193
Interquartile range (IQR)16

Descriptive statistics

Standard deviation33.28957627
Coefficient of variation (CV)2.001649945
Kurtosis11.82366741
Mean16.63106796
Median Absolute Deviation (MAD)4
Skewness3.235041984
Sum1713
Variance1108.195888
MonotocityNot monotonic
2021-03-18T15:59:59.289215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
036
33.6%
18
 
7.5%
57
 
6.5%
45
 
4.7%
83
 
2.8%
143
 
2.8%
173
 
2.8%
73
 
2.8%
33
 
2.8%
23
 
2.8%
Other values (24)29
27.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
18
 
7.5%
23
 
2.8%
33
 
2.8%
45
 
4.7%
ValueCountFrequency (%)
1931
0.9%
1681
0.9%
1171
0.9%
1051
0.9%
1011
0.9%

CGD ANNECY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct56
Distinct (%)54.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean80.24271845
Minimum0
Maximum1011
Zeros23
Zeros (%)21.5%
Memory size984.0 B
2021-03-18T15:59:59.396933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median11
Q363
95-th percentile519.5
Maximum1011
Range1011
Interquartile range (IQR)62

Descriptive statistics

Standard deviation173.4655679
Coefficient of variation (CV)2.161760859
Kurtosis12.02678521
Mean80.24271845
Median Absolute Deviation (MAD)11
Skewness3.35239099
Sum8265
Variance30090.30326
MonotocityNot monotonic
2021-03-18T15:59:59.518375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
023
21.5%
18
 
7.5%
44
 
3.7%
54
 
3.7%
344
 
3.7%
114
 
3.7%
24
 
3.7%
62
 
1.9%
562
 
1.9%
1322
 
1.9%
Other values (46)46
43.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
023
21.5%
18
 
7.5%
24
 
3.7%
31
 
0.9%
44
 
3.7%
ValueCountFrequency (%)
10111
0.9%
8131
0.9%
6121
0.9%
6071
0.9%
5581
0.9%

CGD BONNEVILLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct50
Distinct (%)48.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean49.22330097
Minimum0
Maximum549
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T15:59:59.642670image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q352.5
95-th percentile259.3
Maximum549
Range549
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation98.83745143
Coefficient of variation (CV)2.007940335
Kurtosis10.48934241
Mean49.22330097
Median Absolute Deviation (MAD)6
Skewness3.105399257
Sum5070
Variance9768.841805
MonotocityNot monotonic
2021-03-18T15:59:59.745783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
024
22.4%
110
 
9.3%
25
 
4.7%
35
 
4.7%
53
 
2.8%
143
 
2.8%
113
 
2.8%
63
 
2.8%
272
 
1.9%
42
 
1.9%
Other values (40)43
40.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
110
9.3%
25
 
4.7%
35
 
4.7%
42
 
1.9%
ValueCountFrequency (%)
5491
0.9%
4901
0.9%
3561
0.9%
3391
0.9%
2651
0.9%

CGD CHAMONIX MONT BLANC
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean26.97087379
Minimum0
Maximum362
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T16:00:01.600873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q321.5
95-th percentile130.1
Maximum362
Range362
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation59.28172292
Coefficient of variation (CV)2.197990447
Kurtosis14.49203386
Mean26.97087379
Median Absolute Deviation (MAD)4
Skewness3.620075701
Sum2778
Variance3514.322673
MonotocityNot monotonic
2021-03-18T16:00:01.700962image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
031
29.0%
38
 
7.5%
17
 
6.5%
25
 
4.7%
103
 
2.8%
53
 
2.8%
112
 
1.9%
392
 
1.9%
182
 
1.9%
132
 
1.9%
Other values (31)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
17
 
6.5%
25
 
4.7%
38
 
7.5%
42
 
1.9%
ValueCountFrequency (%)
3621
0.9%
2881
0.9%
2271
0.9%
2011
0.9%
1981
0.9%

CGD ST JULIEN EN GENEVOIS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)45.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean46.30097087
Minimum0
Maximum611
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T16:00:01.802977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q345.5
95-th percentile288.4
Maximum611
Range611
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation102.1778376
Coefficient of variation (CV)2.206818467
Kurtosis13.61029278
Mean46.30097087
Median Absolute Deviation (MAD)7
Skewness3.548113129
Sum4769
Variance10440.31049
MonotocityNot monotonic
2021-03-18T16:00:01.899511image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
027
25.2%
110
 
9.3%
37
 
6.5%
193
 
2.8%
93
 
2.8%
23
 
2.8%
432
 
1.9%
62
 
1.9%
532
 
1.9%
662
 
1.9%
Other values (37)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
110
 
9.3%
23
 
2.8%
37
 
6.5%
42
 
1.9%
ValueCountFrequency (%)
6111
0.9%
4751
0.9%
4361
0.9%
3211
0.9%
3141
0.9%

CGD THONON LES BAINS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean29.34951456
Minimum0
Maximum353
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T16:00:02.001307image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q322.5
95-th percentile146.1
Maximum353
Range353
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation64.42455821
Coefficient of variation (CV)2.195080879
Kurtosis12.56382141
Mean29.34951456
Median Absolute Deviation (MAD)5
Skewness3.45449841
Sum3023
Variance4150.523701
MonotocityNot monotonic
2021-03-18T16:00:02.098974image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
028
26.2%
112
 
11.2%
65
 
4.7%
24
 
3.7%
44
 
3.7%
134
 
3.7%
33
 
2.8%
143
 
2.8%
102
 
1.9%
112
 
1.9%
Other values (32)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
112
11.2%
24
 
3.7%
33
 
2.8%
44
 
3.7%
ValueCountFrequency (%)
3531
0.9%
3361
0.9%
2591
0.9%
2441
0.9%
1911
0.9%

CGD DIEPPE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean17.86407767
Minimum0
Maximum248
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T16:00:02.196389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q317
95-th percentile79.9
Maximum248
Range248
Interquartile range (IQR)17

Descriptive statistics

Standard deviation36.99444806
Coefficient of variation (CV)2.070884864
Kurtosis18.11605267
Mean17.86407767
Median Absolute Deviation (MAD)2
Skewness3.795502079
Sum1840
Variance1368.589187
MonotocityNot monotonic
2021-03-18T16:00:02.293218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
037
34.6%
112
 
11.2%
26
 
5.6%
115
 
4.7%
103
 
2.8%
63
 
2.8%
202
 
1.9%
572
 
1.9%
42
 
1.9%
82
 
1.9%
Other values (28)29
27.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
112
 
11.2%
26
 
5.6%
31
 
0.9%
42
 
1.9%
ValueCountFrequency (%)
2481
0.9%
1891
0.9%
1031
0.9%
891
0.9%
831
0.9%

CGD FECAMP
Real number (ℝ≥0)

MISSING
ZEROS

Distinct32
Distinct (%)31.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean14.63106796
Minimum0
Maximum184
Zeros36
Zeros (%)33.6%
Memory size984.0 B
2021-03-18T16:00:02.383970image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q312
95-th percentile72.2
Maximum184
Range184
Interquartile range (IQR)12

Descriptive statistics

Standard deviation29.78715024
Coefficient of variation (CV)2.035883527
Kurtosis13.56267611
Mean14.63106796
Median Absolute Deviation (MAD)2
Skewness3.426578362
Sum1507
Variance887.2743194
MonotocityNot monotonic
2021-03-18T16:00:02.470549image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
036
33.6%
19
 
8.4%
27
 
6.5%
55
 
4.7%
105
 
4.7%
34
 
3.7%
94
 
3.7%
243
 
2.8%
83
 
2.8%
132
 
1.9%
Other values (22)25
23.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
036
33.6%
19
 
8.4%
27
 
6.5%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
1841
0.9%
1351
0.9%
1151
0.9%
1121
0.9%
751
0.9%

CGD LE HAVRE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct32
Distinct (%)31.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean17.19417476
Minimum0
Maximum203
Zeros41
Zeros (%)38.3%
Memory size984.0 B
2021-03-18T16:00:02.564706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q316
95-th percentile87.9
Maximum203
Range203
Interquartile range (IQR)16

Descriptive statistics

Standard deviation34.83801683
Coefficient of variation (CV)2.026152306
Kurtosis9.916024977
Mean17.19417476
Median Absolute Deviation (MAD)2
Skewness2.978970576
Sum1771
Variance1213.687417
MonotocityNot monotonic
2021-03-18T16:00:02.657313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
041
38.3%
28
 
7.5%
17
 
6.5%
193
 
2.8%
103
 
2.8%
43
 
2.8%
53
 
2.8%
63
 
2.8%
93
 
2.8%
212
 
1.9%
Other values (22)27
25.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
041
38.3%
17
 
6.5%
28
 
7.5%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
2031
0.9%
1351
0.9%
1321
0.9%
1231
0.9%
1061
0.9%

CGD NEUFCHATEL EN BRAY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean26.25242718
Minimum0
Maximum290
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T16:00:02.757647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q322
95-th percentile132.6
Maximum290
Range290
Interquartile range (IQR)22

Descriptive statistics

Standard deviation51.71617839
Coefficient of variation (CV)1.969957978
Kurtosis10.95935627
Mean26.25242718
Median Absolute Deviation (MAD)4
Skewness3.071476623
Sum2704
Variance2674.563107
MonotocityNot monotonic
2021-03-18T16:00:02.852075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
033
30.8%
112
 
11.2%
55
 
4.7%
74
 
3.7%
44
 
3.7%
183
 
2.8%
23
 
2.8%
172
 
1.9%
142
 
1.9%
232
 
1.9%
Other values (32)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
112
 
11.2%
23
 
2.8%
31
 
0.9%
44
 
3.7%
ValueCountFrequency (%)
2901
0.9%
2731
0.9%
1611
0.9%
1501
0.9%
1411
0.9%

CGD ROUEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)37.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean30.93203883
Minimum0
Maximum406
Zeros30
Zeros (%)28.0%
Memory size984.0 B
2021-03-18T16:00:02.951179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q319
95-th percentile168
Maximum406
Range406
Interquartile range (IQR)19

Descriptive statistics

Standard deviation64.18039254
Coefficient of variation (CV)2.074884002
Kurtosis13.15385457
Mean30.93203883
Median Absolute Deviation (MAD)3
Skewness3.293750811
Sum3186
Variance4119.122787
MonotocityNot monotonic
2021-03-18T16:00:03.047922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
030
28.0%
113
12.1%
27
 
6.5%
34
 
3.7%
134
 
3.7%
43
 
2.8%
173
 
2.8%
113
 
2.8%
162
 
1.9%
822
 
1.9%
Other values (29)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
030
28.0%
113
12.1%
27
 
6.5%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
4061
0.9%
2601
0.9%
2431
0.9%
1871
0.9%
1841
0.9%

CGD YVETOT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean22.73786408
Minimum0
Maximum263
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T16:00:03.147098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q319.5
95-th percentile114.7
Maximum263
Range263
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation46.13852993
Coefficient of variation (CV)2.029149694
Kurtosis11.10141631
Mean22.73786408
Median Absolute Deviation (MAD)4
Skewness3.162691627
Sum2342
Variance2128.763944
MonotocityNot monotonic
2021-03-18T16:00:03.247323image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
037
34.6%
17
 
6.5%
35
 
4.7%
44
 
3.7%
134
 
3.7%
213
 
2.8%
53
 
2.8%
123
 
2.8%
63
 
2.8%
152
 
1.9%
Other values (28)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
17
 
6.5%
21
 
0.9%
35
 
4.7%
44
 
3.7%
ValueCountFrequency (%)
2631
0.9%
2231
0.9%
1851
0.9%
1421
0.9%
1321
0.9%

CGD COULOMMIERS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct50
Distinct (%)48.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean41.4368932
Minimum0
Maximum438
Zeros22
Zeros (%)20.6%
Memory size984.0 B
2021-03-18T16:00:03.348929image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q335
95-th percentile220.1
Maximum438
Range438
Interquartile range (IQR)34

Descriptive statistics

Standard deviation79.37743912
Coefficient of variation (CV)1.915622359
Kurtosis8.783863449
Mean41.4368932
Median Absolute Deviation (MAD)6
Skewness2.845340633
Sum4268
Variance6300.777841
MonotocityNot monotonic
2021-03-18T16:00:03.448494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
022
20.6%
110
 
9.3%
28
 
7.5%
45
 
4.7%
35
 
4.7%
234
 
3.7%
92
 
1.9%
312
 
1.9%
122
 
1.9%
242
 
1.9%
Other values (40)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
022
20.6%
110
9.3%
28
 
7.5%
35
 
4.7%
45
 
4.7%
ValueCountFrequency (%)
4381
0.9%
3591
0.9%
3061
0.9%
2261
0.9%
2241
0.9%

CGD FONTAINEBLEAU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)35.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean15.96116505
Minimum0
Maximum148
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T16:00:03.545471image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q315
95-th percentile80.2
Maximum148
Range148
Interquartile range (IQR)15

Descriptive statistics

Standard deviation29.61051825
Coefficient of variation (CV)1.855160206
Kurtosis8.031214443
Mean15.96116505
Median Absolute Deviation (MAD)4
Skewness2.804223714
Sum1644
Variance876.7827908
MonotocityNot monotonic
2021-03-18T16:00:03.638364image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
033
30.8%
18
 
7.5%
47
 
6.5%
25
 
4.7%
75
 
4.7%
65
 
4.7%
83
 
2.8%
93
 
2.8%
1172
 
1.9%
322
 
1.9%
Other values (26)30
28.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
18
 
7.5%
25
 
4.7%
47
 
6.5%
52
 
1.9%
ValueCountFrequency (%)
1481
0.9%
1391
0.9%
1172
1.9%
921
0.9%
811
0.9%

CGD MEAUX
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean38.80582524
Minimum0
Maximum357
Zeros25
Zeros (%)23.4%
Memory size984.0 B
2021-03-18T16:00:03.740660image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median10
Q329
95-th percentile216.9
Maximum357
Range357
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation73.03827337
Coefficient of variation (CV)1.88214715
Kurtosis6.446579321
Mean38.80582524
Median Absolute Deviation (MAD)10
Skewness2.594623539
Sum3997
Variance5334.589377
MonotocityNot monotonic
2021-03-18T16:00:03.843556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
025
23.4%
211
 
10.3%
45
 
4.7%
34
 
3.7%
194
 
3.7%
212
 
1.9%
272
 
1.9%
102
 
1.9%
252
 
1.9%
142
 
1.9%
Other values (38)44
41.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
025
23.4%
11
 
0.9%
211
10.3%
34
 
3.7%
45
 
4.7%
ValueCountFrequency (%)
3571
0.9%
3211
0.9%
2781
0.9%
2411
0.9%
2371
0.9%

CGD MELUN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean31.33009709
Minimum0
Maximum655
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T16:00:03.947657image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q320.5
95-th percentile140
Maximum655
Range655
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation77.74926875
Coefficient of variation (CV)2.481615953
Kurtosis41.28985624
Mean31.33009709
Median Absolute Deviation (MAD)7
Skewness5.687012106
Sum3227
Variance6044.948791
MonotocityNot monotonic
2021-03-18T16:00:04.047578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
027
25.2%
111
 
10.3%
24
 
3.7%
124
 
3.7%
34
 
3.7%
113
 
2.8%
93
 
2.8%
73
 
2.8%
133
 
2.8%
53
 
2.8%
Other values (34)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
111
10.3%
24
 
3.7%
34
 
3.7%
41
 
0.9%
ValueCountFrequency (%)
6551
0.9%
2561
0.9%
1981
0.9%
1921
0.9%
1571
0.9%

CGD PROVINS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean17.65048544
Minimum0
Maximum190
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T16:00:04.148008image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q318.5
95-th percentile77.8
Maximum190
Range190
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation32.48852248
Coefficient of variation (CV)1.840658864
Kurtosis9.446332367
Mean17.65048544
Median Absolute Deviation (MAD)3
Skewness2.855542059
Sum1818
Variance1055.504093
MonotocityNot monotonic
2021-03-18T16:00:04.239527image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
032
29.9%
110
 
9.3%
27
 
6.5%
46
 
5.6%
213
 
2.8%
33
 
2.8%
62
 
1.9%
172
 
1.9%
652
 
1.9%
72
 
1.9%
Other values (27)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
110
 
9.3%
27
 
6.5%
33
 
2.8%
46
 
5.6%
ValueCountFrequency (%)
1901
0.9%
1281
0.9%
1221
0.9%
1201
0.9%
881
0.9%

CGD MANTES LA JOLIE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)44.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean29.62135922
Minimum0
Maximum321
Zeros22
Zeros (%)20.6%
Memory size984.0 B
2021-03-18T16:00:04.340503image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q325.5
95-th percentile159.4
Maximum321
Range321
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation57.4874439
Coefficient of variation (CV)1.940742944
Kurtosis9.742294122
Mean29.62135922
Median Absolute Deviation (MAD)8
Skewness3.016177591
Sum3051
Variance3304.806206
MonotocityNot monotonic
2021-03-18T16:00:04.440545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
022
20.6%
115
 
14.0%
86
 
5.6%
124
 
3.7%
34
 
3.7%
24
 
3.7%
53
 
2.8%
143
 
2.8%
302
 
1.9%
222
 
1.9%
Other values (36)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
022
20.6%
115
14.0%
24
 
3.7%
34
 
3.7%
41
 
0.9%
ValueCountFrequency (%)
3211
0.9%
2561
0.9%
2331
0.9%
2011
0.9%
1641
0.9%

CGD RAMBOUILLET
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean27.14563107
Minimum0
Maximum315
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T16:00:04.543662image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q317
95-th percentile151.2
Maximum315
Range315
Interquartile range (IQR)17

Descriptive statistics

Standard deviation54.21804341
Coefficient of variation (CV)1.997302743
Kurtosis9.871510213
Mean27.14563107
Median Absolute Deviation (MAD)4
Skewness2.98545049
Sum2796
Variance2939.596231
MonotocityNot monotonic
2021-03-18T16:00:04.639883image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
032
29.9%
110
 
9.3%
145
 
4.7%
24
 
3.7%
153
 
2.8%
123
 
2.8%
33
 
2.8%
43
 
2.8%
232
 
1.9%
162
 
1.9%
Other values (30)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
110
 
9.3%
24
 
3.7%
33
 
2.8%
43
 
2.8%
ValueCountFrequency (%)
3151
0.9%
2221
0.9%
1931
0.9%
1911
0.9%
1681
0.9%

CGD ST GERMAIN EN LAYE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean27.03883495
Minimum0
Maximum317
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T16:00:04.738825image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q321
95-th percentile152.6
Maximum317
Range317
Interquartile range (IQR)21

Descriptive statistics

Standard deviation53.82887233
Coefficient of variation (CV)1.99079851
Kurtosis10.03184435
Mean27.03883495
Median Absolute Deviation (MAD)4
Skewness2.98559012
Sum2785
Variance2897.547497
MonotocityNot monotonic
2021-03-18T16:00:04.833838image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
027
25.2%
112
 
11.2%
35
 
4.7%
25
 
4.7%
44
 
3.7%
144
 
3.7%
63
 
2.8%
83
 
2.8%
53
 
2.8%
312
 
1.9%
Other values (30)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
112
11.2%
25
 
4.7%
35
 
4.7%
44
 
3.7%
ValueCountFrequency (%)
3171
0.9%
2111
0.9%
1911
0.9%
1821
0.9%
1761
0.9%

CGD BRESSUIRE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean22.0776699
Minimum0
Maximum257
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T16:00:04.932118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q323.5
95-th percentile92
Maximum257
Range257
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation40.51668485
Coefficient of variation (CV)1.835188452
Kurtosis12.90645192
Mean22.0776699
Median Absolute Deviation (MAD)4
Skewness3.210440823
Sum2274
Variance1641.601751
MonotocityNot monotonic
2021-03-18T16:00:05.033685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
031
29.0%
111
 
10.3%
45
 
4.7%
24
 
3.7%
73
 
2.8%
183
 
2.8%
173
 
2.8%
113
 
2.8%
252
 
1.9%
222
 
1.9%
Other values (32)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
111
 
10.3%
24
 
3.7%
32
 
1.9%
45
 
4.7%
ValueCountFrequency (%)
2571
0.9%
1811
0.9%
1441
0.9%
1171
0.9%
1051
0.9%

CGD NIORT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean38.89320388
Minimum0
Maximum473
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T16:00:05.133486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q342
95-th percentile168.3
Maximum473
Range473
Interquartile range (IQR)42

Descriptive statistics

Standard deviation74.05322842
Coefficient of variation (CV)1.90401461
Kurtosis13.34575318
Mean38.89320388
Median Absolute Deviation (MAD)6
Skewness3.258567188
Sum4006
Variance5483.88064
MonotocityNot monotonic
2021-03-18T16:00:05.237015image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
032
29.9%
110
 
9.3%
24
 
3.7%
64
 
3.7%
103
 
2.8%
43
 
2.8%
222
 
1.9%
1312
 
1.9%
462
 
1.9%
242
 
1.9%
Other values (38)39
36.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
110
 
9.3%
24
 
3.7%
31
 
0.9%
43
 
2.8%
ValueCountFrequency (%)
4731
0.9%
3121
0.9%
2951
0.9%
1941
0.9%
1811
0.9%

CGD PARTHENAY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean19.68932039
Minimum0
Maximum202
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T16:00:05.334255image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q321.5
95-th percentile87.8
Maximum202
Range202
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation36.37819567
Coefficient of variation (CV)1.84761053
Kurtosis10.33189217
Mean19.68932039
Median Absolute Deviation (MAD)3
Skewness2.976515096
Sum2028
Variance1323.37312
MonotocityNot monotonic
2021-03-18T16:00:05.438891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
035
32.7%
110
 
9.3%
55
 
4.7%
24
 
3.7%
203
 
2.8%
33
 
2.8%
153
 
2.8%
482
 
1.9%
92
 
1.9%
282
 
1.9%
Other values (28)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
110
 
9.3%
24
 
3.7%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
2021
0.9%
1901
0.9%
1251
0.9%
1161
0.9%
911
0.9%

CGD ABBEVILLE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean30.54368932
Minimum0
Maximum377
Zeros33
Zeros (%)30.8%
Memory size984.0 B
2021-03-18T16:00:05.542163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q327
95-th percentile154.2
Maximum377
Range377
Interquartile range (IQR)27

Descriptive statistics

Standard deviation61.35013251
Coefficient of variation (CV)2.008602558
Kurtosis12.97723371
Mean30.54368932
Median Absolute Deviation (MAD)5
Skewness3.301505439
Sum3146
Variance3763.838759
MonotocityNot monotonic
2021-03-18T16:00:05.642462image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
033
30.8%
19
 
8.4%
25
 
4.7%
184
 
3.7%
43
 
2.8%
63
 
2.8%
192
 
1.9%
132
 
1.9%
52
 
1.9%
112
 
1.9%
Other values (35)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
033
30.8%
19
 
8.4%
25
 
4.7%
31
 
0.9%
43
 
2.8%
ValueCountFrequency (%)
3771
0.9%
2991
0.9%
1971
0.9%
1781
0.9%
1711
0.9%

CGD AMIENS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.17475728
Minimum0
Maximum249
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T16:00:05.741514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q318
95-th percentile118.5
Maximum249
Range249
Interquartile range (IQR)18

Descriptive statistics

Standard deviation44.77053197
Coefficient of variation (CV)1.931866273
Kurtosis8.850745481
Mean23.17475728
Median Absolute Deviation (MAD)3
Skewness2.81483584
Sum2387
Variance2004.400533
MonotocityNot monotonic
2021-03-18T16:00:05.841423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
032
29.9%
113
 
12.1%
26
 
5.6%
83
 
2.8%
93
 
2.8%
103
 
2.8%
182
 
1.9%
72
 
1.9%
932
 
1.9%
52
 
1.9%
Other values (28)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
113
12.1%
26
 
5.6%
31
 
0.9%
42
 
1.9%
ValueCountFrequency (%)
2491
0.9%
2111
0.9%
1402
1.9%
1211
0.9%
1191
0.9%

CGD MONTDIDIER
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.99029126
Minimum0
Maximum254
Zeros41
Zeros (%)38.3%
Memory size984.0 B
2021-03-18T16:00:05.932229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q320
95-th percentile138.4
Maximum254
Range254
Interquartile range (IQR)20

Descriptive statistics

Standard deviation47.92487895
Coefficient of variation (CV)1.997678078
Kurtosis7.685223105
Mean23.99029126
Median Absolute Deviation (MAD)3
Skewness2.725966518
Sum2471
Variance2296.794022
MonotocityNot monotonic
2021-03-18T16:00:06.031891image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
041
38.3%
35
 
4.7%
15
 
4.7%
63
 
2.8%
23
 
2.8%
203
 
2.8%
123
 
2.8%
53
 
2.8%
93
 
2.8%
112
 
1.9%
Other values (27)32
29.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
041
38.3%
15
 
4.7%
23
 
2.8%
35
 
4.7%
42
 
1.9%
ValueCountFrequency (%)
2541
0.9%
2141
0.9%
1631
0.9%
1551
0.9%
1411
0.9%

CGD PERONNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean32.51456311
Minimum0
Maximum373
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T16:00:06.131372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q329
95-th percentile146.6
Maximum373
Range373
Interquartile range (IQR)29

Descriptive statistics

Standard deviation65.46902637
Coefficient of variation (CV)2.013529327
Kurtosis9.970477289
Mean32.51456311
Median Absolute Deviation (MAD)2
Skewness2.996373127
Sum3349
Variance4286.193413
MonotocityNot monotonic
2021-03-18T16:00:06.229453image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
034
31.8%
114
13.1%
24
 
3.7%
293
 
2.8%
113
 
2.8%
103
 
2.8%
502
 
1.9%
172
 
1.9%
42
 
1.9%
52
 
1.9%
Other values (32)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
114
13.1%
24
 
3.7%
31
 
0.9%
42
 
1.9%
ValueCountFrequency (%)
3731
0.9%
2651
0.9%
2641
0.9%
2631
0.9%
1561
0.9%

CGD ALBI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct29
Distinct (%)28.2%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean10.02912621
Minimum0
Maximum131
Zeros44
Zeros (%)41.1%
Memory size984.0 B
2021-03-18T16:00:06.328207image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q38.5
95-th percentile56.9
Maximum131
Range131
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation21.09105205
Coefficient of variation (CV)2.102980021
Kurtosis13.26741049
Mean10.02912621
Median Absolute Deviation (MAD)1
Skewness3.376365783
Sum1033
Variance444.8324767
MonotocityNot monotonic
2021-03-18T16:00:06.420451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
044
41.1%
18
 
7.5%
46
 
5.6%
36
 
5.6%
64
 
3.7%
203
 
2.8%
23
 
2.8%
93
 
2.8%
123
 
2.8%
52
 
1.9%
Other values (19)21
19.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
044
41.1%
18
 
7.5%
23
 
2.8%
36
 
5.6%
46
 
5.6%
ValueCountFrequency (%)
1311
0.9%
971
0.9%
681
0.9%
641
0.9%
621
0.9%

CGD CASTRES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean30.70873786
Minimum0
Maximum340
Zeros30
Zeros (%)28.0%
Memory size984.0 B
2021-03-18T16:00:06.519546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q328
95-th percentile180.7
Maximum340
Range340
Interquartile range (IQR)28

Descriptive statistics

Standard deviation62.94747749
Coefficient of variation (CV)2.04982301
Kurtosis11.25400625
Mean30.70873786
Median Absolute Deviation (MAD)4
Skewness3.209782773
Sum3163
Variance3962.384923
MonotocityNot monotonic
2021-03-18T16:00:06.620686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
030
28.0%
111
 
10.3%
26
 
5.6%
104
 
3.7%
33
 
2.8%
283
 
2.8%
142
 
1.9%
212
 
1.9%
92
 
1.9%
172
 
1.9%
Other values (35)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
030
28.0%
111
 
10.3%
26
 
5.6%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
3401
0.9%
3371
0.9%
2061
0.9%
2041
0.9%
2031
0.9%

CGD GAILLAC
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)44.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean26.59223301
Minimum0
Maximum295
Zeros34
Zeros (%)31.8%
Memory size984.0 B
2021-03-18T16:00:06.729648image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q324.5
95-th percentile161.7
Maximum295
Range295
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation52.73378143
Coefficient of variation (CV)1.983052022
Kurtosis9.422853675
Mean26.59223301
Median Absolute Deviation (MAD)3
Skewness2.966942878
Sum2739
Variance2780.851704
MonotocityNot monotonic
2021-03-18T16:00:06.827693image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
034
31.8%
29
 
8.4%
18
 
7.5%
123
 
2.8%
33
 
2.8%
132
 
1.9%
162
 
1.9%
52
 
1.9%
112
 
1.9%
72
 
1.9%
Other values (36)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
034
31.8%
18
 
7.5%
29
 
8.4%
33
 
2.8%
52
 
1.9%
ValueCountFrequency (%)
2951
0.9%
2191
0.9%
2031
0.9%
1841
0.9%
1831
0.9%

CGD CASTELSARRASIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct35
Distinct (%)34.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean20.63106796
Minimum0
Maximum368
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T16:00:06.929388image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q319
95-th percentile94.9
Maximum368
Range368
Interquartile range (IQR)19

Descriptive statistics

Standard deviation46.13109842
Coefficient of variation (CV)2.236001476
Kurtosis31.89281268
Mean20.63106796
Median Absolute Deviation (MAD)2
Skewness4.868705736
Sum2125
Variance2128.078241
MonotocityNot monotonic
2021-03-18T16:00:07.020384image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
035
32.7%
111
 
10.3%
27
 
6.5%
134
 
3.7%
34
 
3.7%
194
 
3.7%
383
 
2.8%
93
 
2.8%
122
 
1.9%
42
 
1.9%
Other values (25)28
26.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
111
 
10.3%
27
 
6.5%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
3681
0.9%
1631
0.9%
1051
0.9%
1041
0.9%
981
0.9%

CGD MONTAUBAN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)44.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean31.33980583
Minimum0
Maximum463
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T16:00:07.120721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q320.5
95-th percentile166.7
Maximum463
Range463
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation66.19320405
Coefficient of variation (CV)2.112112769
Kurtosis19.16631803
Mean31.33980583
Median Absolute Deviation (MAD)7
Skewness3.858839751
Sum3228
Variance4381.540263
MonotocityNot monotonic
2021-03-18T16:00:07.221745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
031
29.0%
17
 
6.5%
26
 
5.6%
74
 
3.7%
123
 
2.8%
153
 
2.8%
133
 
2.8%
93
 
2.8%
732
 
1.9%
32
 
1.9%
Other values (36)39
36.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
17
 
6.5%
26
 
5.6%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
4631
0.9%
2831
0.9%
1911
0.9%
1821
0.9%
1781
0.9%

CGD BRIGNOLES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)45.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean47.03883495
Minimum0
Maximum550
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T16:00:07.319755image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q336
95-th percentile270.8
Maximum550
Range550
Interquartile range (IQR)36

Descriptive statistics

Standard deviation97.55078339
Coefficient of variation (CV)2.073835024
Kurtosis12.04429071
Mean47.03883495
Median Absolute Deviation (MAD)7
Skewness3.29313728
Sum4845
Variance9516.15534
MonotocityNot monotonic
2021-03-18T16:00:07.416226image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
027
25.2%
17
 
6.5%
55
 
4.7%
154
 
3.7%
64
 
3.7%
33
 
2.8%
23
 
2.8%
2812
 
1.9%
42
 
1.9%
342
 
1.9%
Other values (37)44
41.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
17
 
6.5%
23
 
2.8%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
5501
0.9%
5201
0.9%
3091
0.9%
2812
1.9%
2711
0.9%

CGD DRAGUIGNAN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct54
Distinct (%)52.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean50.94174757
Minimum0
Maximum612
Zeros21
Zeros (%)19.6%
Memory size984.0 B
2021-03-18T16:00:07.523679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median11
Q343.5
95-th percentile268.8
Maximum612
Range612
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation102.4093885
Coefficient of variation (CV)2.010323425
Kurtosis13.39367917
Mean50.94174757
Median Absolute Deviation (MAD)11
Skewness3.414251568
Sum5247
Variance10487.68285
MonotocityNot monotonic
2021-03-18T16:00:07.628134image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
021
19.6%
18
 
7.5%
25
 
4.7%
65
 
4.7%
44
 
3.7%
113
 
2.8%
243
 
2.8%
82
 
1.9%
262
 
1.9%
32
 
1.9%
Other values (44)48
44.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
021
19.6%
18
 
7.5%
25
 
4.7%
32
 
1.9%
44
 
3.7%
ValueCountFrequency (%)
6121
0.9%
5361
0.9%
3491
0.9%
2891
0.9%
2831
0.9%

CGD GASSIN ST TROPEZ
Real number (ℝ≥0)

MISSING
ZEROS

Distinct56
Distinct (%)54.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean59.57281553
Minimum0
Maximum839
Zeros22
Zeros (%)20.6%
Memory size984.0 B
2021-03-18T16:00:07.740603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q353
95-th percentile253.4
Maximum839
Range839
Interquartile range (IQR)52

Descriptive statistics

Standard deviation126.8040485
Coefficient of variation (CV)2.128555572
Kurtosis16.30692762
Mean59.57281553
Median Absolute Deviation (MAD)9
Skewness3.679594173
Sum6136
Variance16079.2667
MonotocityNot monotonic
2021-03-18T16:00:07.845290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
022
20.6%
17
 
6.5%
56
 
5.6%
34
 
3.7%
24
 
3.7%
63
 
2.8%
123
 
2.8%
142
 
1.9%
482
 
1.9%
72
 
1.9%
Other values (46)48
44.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
022
20.6%
17
 
6.5%
24
 
3.7%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
8391
0.9%
5411
0.9%
4521
0.9%
4411
0.9%
3651
0.9%

CGD HYERES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct52
Distinct (%)50.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean44.58252427
Minimum0
Maximum502
Zeros25
Zeros (%)23.4%
Memory size984.0 B
2021-03-18T16:00:07.950157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q343
95-th percentile265.1
Maximum502
Range502
Interquartile range (IQR)42

Descriptive statistics

Standard deviation87.65378914
Coefficient of variation (CV)1.966101978
Kurtosis10.36678562
Mean44.58252427
Median Absolute Deviation (MAD)8
Skewness3.08670165
Sum4592
Variance7683.18675
MonotocityNot monotonic
2021-03-18T16:00:08.059433image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
025
23.4%
17
 
6.5%
34
 
3.7%
24
 
3.7%
64
 
3.7%
44
 
3.7%
123
 
2.8%
172
 
1.9%
102
 
1.9%
432
 
1.9%
Other values (42)46
43.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
025
23.4%
17
 
6.5%
24
 
3.7%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
5021
0.9%
3991
0.9%
3221
0.9%
2821
0.9%
2781
0.9%

CGD LA VALETTE DU VAR
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)35.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean20.23300971
Minimum0
Maximum206
Zeros26
Zeros (%)24.3%
Memory size984.0 B
2021-03-18T16:00:08.160934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median3
Q317.5
95-th percentile145
Maximum206
Range206
Interquartile range (IQR)17

Descriptive statistics

Standard deviation42.52201365
Coefficient of variation (CV)2.101615838
Kurtosis8.800972203
Mean20.23300971
Median Absolute Deviation (MAD)3
Skewness3.037753904
Sum2084
Variance1808.121645
MonotocityNot monotonic
2021-03-18T16:00:08.250348image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
026
24.3%
113
12.1%
38
 
7.5%
67
 
6.5%
25
 
4.7%
43
 
2.8%
53
 
2.8%
103
 
2.8%
182
 
1.9%
172
 
1.9%
Other values (26)31
29.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
026
24.3%
113
12.1%
25
 
4.7%
38
 
7.5%
43
 
2.8%
ValueCountFrequency (%)
2061
0.9%
1871
0.9%
1771
0.9%
1661
0.9%
1581
0.9%

CGD AVIGNON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean43.21359223
Minimum0
Maximum482
Zeros25
Zeros (%)23.4%
Memory size984.0 B
2021-03-18T16:00:08.345508image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q335.5
95-th percentile283.1
Maximum482
Range482
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation88.47206832
Coefficient of variation (CV)2.047320386
Kurtosis8.850571766
Mean43.21359223
Median Absolute Deviation (MAD)6
Skewness2.941664592
Sum4451
Variance7827.306872
MonotocityNot monotonic
2021-03-18T16:00:08.453021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
025
23.4%
18
 
7.5%
46
 
5.6%
26
 
5.6%
35
 
4.7%
134
 
3.7%
173
 
2.8%
62
 
1.9%
92
 
1.9%
152
 
1.9%
Other values (39)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
025
23.4%
18
 
7.5%
26
 
5.6%
35
 
4.7%
46
 
5.6%
ValueCountFrequency (%)
4821
0.9%
3461
0.9%
3371
0.9%
3221
0.9%
3151
0.9%

CGD CARPENTRAS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)37.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean22.93203883
Minimum0
Maximum323
Zeros32
Zeros (%)29.9%
Memory size984.0 B
2021-03-18T16:00:08.554830image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q315
95-th percentile148.2
Maximum323
Range323
Interquartile range (IQR)15

Descriptive statistics

Standard deviation50.85586363
Coefficient of variation (CV)2.217677372
Kurtosis14.25877219
Mean22.93203883
Median Absolute Deviation (MAD)3
Skewness3.530031366
Sum2362
Variance2586.318865
MonotocityNot monotonic
2021-03-18T16:00:08.648909image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
032
29.9%
114
13.1%
25
 
4.7%
104
 
3.7%
53
 
2.8%
133
 
2.8%
152
 
1.9%
492
 
1.9%
42
 
1.9%
112
 
1.9%
Other values (29)34
31.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
032
29.9%
114
13.1%
25
 
4.7%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
3231
0.9%
1941
0.9%
1831
0.9%
1791
0.9%
1761
0.9%

CGD ORANGE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean25.7184466
Minimum0
Maximum281
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T16:00:08.746501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323
95-th percentile149
Maximum281
Range281
Interquartile range (IQR)23

Descriptive statistics

Standard deviation53.07678815
Coefficient of variation (CV)2.063763375
Kurtosis9.442280127
Mean25.7184466
Median Absolute Deviation (MAD)3
Skewness3.013270365
Sum2649
Variance2817.145441
MonotocityNot monotonic
2021-03-18T16:00:08.835078image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
031
29.0%
18
 
7.5%
37
 
6.5%
27
 
6.5%
76
 
5.6%
105
 
4.7%
43
 
2.8%
202
 
1.9%
82
 
1.9%
282
 
1.9%
Other values (27)30
28.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
18
 
7.5%
27
 
6.5%
37
 
6.5%
43
 
2.8%
ValueCountFrequency (%)
2811
0.9%
2561
0.9%
1971
0.9%
1911
0.9%
1591
0.9%

CGD PERTUIS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean37.29126214
Minimum0
Maximum414
Zeros29
Zeros (%)27.1%
Memory size984.0 B
2021-03-18T16:00:08.940502image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q334.5
95-th percentile251
Maximum414
Range414
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation74.93979689
Coefficient of variation (CV)2.009580599
Kurtosis8.694452405
Mean37.29126214
Median Absolute Deviation (MAD)5
Skewness2.898799802
Sum3841
Variance5615.973158
MonotocityNot monotonic
2021-03-18T16:00:09.041999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
029
27.1%
210
 
9.3%
18
 
7.5%
144
 
3.7%
122
 
1.9%
42
 
1.9%
262
 
1.9%
72
 
1.9%
62
 
1.9%
212
 
1.9%
Other values (38)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
029
27.1%
18
 
7.5%
210
 
9.3%
32
 
1.9%
42
 
1.9%
ValueCountFrequency (%)
4141
0.9%
2821
0.9%
2681
0.9%
2611
0.9%
2551
0.9%

CGD FONTENAY LE COMTE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean36.83495146
Minimum0
Maximum465
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T16:00:09.143072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q339
95-th percentile190.7
Maximum465
Range465
Interquartile range (IQR)39

Descriptive statistics

Standard deviation72.5184354
Coefficient of variation (CV)1.968739812
Kurtosis13.86414796
Mean36.83495146
Median Absolute Deviation (MAD)6
Skewness3.35139389
Sum3794
Variance5258.923472
MonotocityNot monotonic
2021-03-18T16:00:09.243967image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
028
26.2%
19
 
8.4%
26
 
5.6%
44
 
3.7%
114
 
3.7%
64
 
3.7%
202
 
1.9%
382
 
1.9%
102
 
1.9%
412
 
1.9%
Other values (39)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
19
 
8.4%
26
 
5.6%
31
 
0.9%
44
 
3.7%
ValueCountFrequency (%)
4651
0.9%
3281
0.9%
2221
0.9%
2021
0.9%
1991
0.9%

CGD LA ROCHE SUR YON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct53
Distinct (%)51.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean60.83495146
Minimum0
Maximum764
Zeros23
Zeros (%)21.5%
Memory size984.0 B
2021-03-18T16:00:09.350668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q345
95-th percentile313.5
Maximum764
Range764
Interquartile range (IQR)44

Descriptive statistics

Standard deviation120.0838022
Coefficient of variation (CV)1.973927805
Kurtosis13.05136869
Mean60.83495146
Median Absolute Deviation (MAD)9
Skewness3.255358081
Sum6266
Variance14420.11955
MonotocityNot monotonic
2021-03-18T16:00:09.458335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
023
21.5%
112
 
11.2%
34
 
3.7%
53
 
2.8%
453
 
2.8%
153
 
2.8%
23
 
2.8%
372
 
1.9%
292
 
1.9%
72
 
1.9%
Other values (43)46
43.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
023
21.5%
112
11.2%
23
 
2.8%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
7641
0.9%
4781
0.9%
4631
0.9%
3471
0.9%
3191
0.9%

CGD LES SABLES D OLONNE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct51
Distinct (%)49.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean64.73786408
Minimum0
Maximum903
Zeros26
Zeros (%)24.3%
Memory size984.0 B
2021-03-18T16:00:09.571194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.5
median9
Q350.5
95-th percentile295.2
Maximum903
Range903
Interquartile range (IQR)50

Descriptive statistics

Standard deviation139.9589548
Coefficient of variation (CV)2.161933466
Kurtosis16.22254174
Mean64.73786408
Median Absolute Deviation (MAD)9
Skewness3.738249293
Sum6668
Variance19588.50904
MonotocityNot monotonic
2021-03-18T16:00:09.672564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
026
24.3%
17
 
6.5%
46
 
5.6%
24
 
3.7%
64
 
3.7%
93
 
2.8%
182
 
1.9%
902
 
1.9%
382
 
1.9%
282
 
1.9%
Other values (41)45
42.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
026
24.3%
17
 
6.5%
24
 
3.7%
46
 
5.6%
51
 
0.9%
ValueCountFrequency (%)
9031
0.9%
6551
0.9%
5171
0.9%
5091
0.9%
3801
0.9%

CGD CHATELLERAULT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean20.26213592
Minimum0
Maximum264
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T16:00:09.771581image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q323
95-th percentile84.7
Maximum264
Range264
Interquartile range (IQR)23

Descriptive statistics

Standard deviation38.09790308
Coefficient of variation (CV)1.880251086
Kurtosis17.28898085
Mean20.26213592
Median Absolute Deviation (MAD)2
Skewness3.565159466
Sum2087
Variance1451.450219
MonotocityNot monotonic
2021-03-18T16:00:09.867754image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
035
32.7%
113
 
12.1%
24
 
3.7%
133
 
2.8%
33
 
2.8%
233
 
2.8%
223
 
2.8%
52
 
1.9%
92
 
1.9%
822
 
1.9%
Other values (28)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
113
 
12.1%
24
 
3.7%
33
 
2.8%
52
 
1.9%
ValueCountFrequency (%)
2641
0.9%
1611
0.9%
1081
0.9%
952
1.9%
851
0.9%

CGD MONTMORILLON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct37
Distinct (%)35.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean21.11650485
Minimum0
Maximum335
Zeros37
Zeros (%)34.6%
Memory size984.0 B
2021-03-18T16:00:09.961380image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q320
95-th percentile98.4
Maximum335
Range335
Interquartile range (IQR)20

Descriptive statistics

Standard deviation43.84135861
Coefficient of variation (CV)2.076165488
Kurtosis25.87705178
Mean21.11650485
Median Absolute Deviation (MAD)2
Skewness4.3184492
Sum2175
Variance1922.064725
MonotocityNot monotonic
2021-03-18T16:00:10.054857image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
037
34.6%
111
 
10.3%
28
 
7.5%
164
 
3.7%
83
 
2.8%
33
 
2.8%
152
 
1.9%
182
 
1.9%
132
 
1.9%
302
 
1.9%
Other values (27)29
27.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
037
34.6%
111
 
10.3%
28
 
7.5%
33
 
2.8%
52
 
1.9%
ValueCountFrequency (%)
3351
0.9%
1471
0.9%
1251
0.9%
1111
0.9%
1021
0.9%

CGD POITIERS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct50
Distinct (%)48.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean38.44660194
Minimum0
Maximum508
Zeros30
Zeros (%)28.0%
Memory size984.0 B
2021-03-18T16:00:10.157492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q336.5
95-th percentile177
Maximum508
Range508
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation75.67224582
Coefficient of variation (CV)1.968242757
Kurtosis15.57360707
Mean38.44660194
Median Absolute Deviation (MAD)7
Skewness3.476410892
Sum3960
Variance5726.288787
MonotocityNot monotonic
2021-03-18T16:00:10.264142image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
030
28.0%
26
 
5.6%
15
 
4.7%
35
 
4.7%
253
 
2.8%
173
 
2.8%
402
 
1.9%
92
 
1.9%
42
 
1.9%
62
 
1.9%
Other values (40)43
40.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
030
28.0%
15
 
4.7%
26
 
5.6%
35
 
4.7%
42
 
1.9%
ValueCountFrequency (%)
5081
0.9%
2961
0.9%
2621
0.9%
2361
0.9%
1881
0.9%

CGD BELLAC
Real number (ℝ≥0)

MISSING
ZEROS

Distinct33
Distinct (%)32.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean10.4368932
Minimum0
Maximum115
Zeros40
Zeros (%)37.4%
Memory size984.0 B
2021-03-18T16:00:10.359428image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q311
95-th percentile44.9
Maximum115
Range115
Interquartile range (IQR)11

Descriptive statistics

Standard deviation19.40268321
Coefficient of variation (CV)1.859047787
Kurtosis11.84761975
Mean10.4368932
Median Absolute Deviation (MAD)3
Skewness3.195347333
Sum1075
Variance376.4641157
MonotocityNot monotonic
2021-03-18T16:00:10.450834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
040
37.4%
19
 
8.4%
36
 
5.6%
45
 
4.7%
104
 
3.7%
63
 
2.8%
212
 
1.9%
142
 
1.9%
262
 
1.9%
92
 
1.9%
Other values (23)28
26.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
040
37.4%
19
 
8.4%
21
 
0.9%
36
 
5.6%
45
 
4.7%
ValueCountFrequency (%)
1151
0.9%
871
0.9%
851
0.9%
711
0.9%
471
0.9%

CGD LIMOGES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct35
Distinct (%)34.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean16.38834951
Minimum0
Maximum282
Zeros35
Zeros (%)32.7%
Memory size984.0 B
2021-03-18T16:00:10.542389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q314
95-th percentile80.5
Maximum282
Range282
Interquartile range (IQR)14

Descriptive statistics

Standard deviation35.96055383
Coefficient of variation (CV)2.1942755
Kurtosis29.98804124
Mean16.38834951
Median Absolute Deviation (MAD)3
Skewness4.783297226
Sum1688
Variance1293.161432
MonotocityNot monotonic
2021-03-18T16:00:10.631663image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
035
32.7%
18
 
7.5%
36
 
5.6%
106
 
5.6%
26
 
5.6%
84
 
3.7%
113
 
2.8%
253
 
2.8%
142
 
1.9%
122
 
1.9%
Other values (25)28
26.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
035
32.7%
18
 
7.5%
26
 
5.6%
36
 
5.6%
41
 
0.9%
ValueCountFrequency (%)
2821
0.9%
1331
0.9%
1001
0.9%
981
0.9%
861
0.9%

CGD ST JUNIEN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct38
Distinct (%)36.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean16.33009709
Minimum0
Maximum242
Zeros44
Zeros (%)41.1%
Memory size984.0 B
2021-03-18T16:00:10.727413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q316.5
95-th percentile75.5
Maximum242
Range242
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation34.3255431
Coefficient of variation (CV)2.101980344
Kurtosis19.41914846
Mean16.33009709
Median Absolute Deviation (MAD)2
Skewness3.865968476
Sum1682
Variance1178.242909
MonotocityNot monotonic
2021-03-18T16:00:10.830472image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
044
41.1%
17
 
6.5%
26
 
5.6%
94
 
3.7%
83
 
2.8%
112
 
1.9%
712
 
1.9%
212
 
1.9%
52
 
1.9%
432
 
1.9%
Other values (28)29
27.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
044
41.1%
17
 
6.5%
26
 
5.6%
31
 
0.9%
41
 
0.9%
ValueCountFrequency (%)
2421
0.9%
1341
0.9%
1121
0.9%
1091
0.9%
771
0.9%

CGD NEUFCHATEAU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean23.45631068
Minimum0
Maximum258
Zeros30
Zeros (%)28.0%
Memory size984.0 B
2021-03-18T16:00:10.927666image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q322.5
95-th percentile106.8
Maximum258
Range258
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation43.74923567
Coefficient of variation (CV)1.865137117
Kurtosis9.731544492
Mean23.45631068
Median Absolute Deviation (MAD)4
Skewness2.875849865
Sum2416
Variance1913.995622
MonotocityNot monotonic
2021-03-18T16:00:11.029994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
030
28.0%
110
 
9.3%
29
 
8.4%
55
 
4.7%
93
 
2.8%
213
 
2.8%
43
 
2.8%
133
 
2.8%
222
 
1.9%
322
 
1.9%
Other values (30)33
30.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
030
28.0%
110
 
9.3%
29
 
8.4%
31
 
0.9%
43
 
2.8%
ValueCountFrequency (%)
2581
0.9%
1951
0.9%
1331
0.9%
1251
0.9%
1241
0.9%

CGD REMIREMONT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean30.29126214
Minimum0
Maximum355
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T16:00:11.132610image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q327.5
95-th percentile151.8
Maximum355
Range355
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation58.60546569
Coefficient of variation (CV)1.93473172
Kurtosis11.34538984
Mean30.29126214
Median Absolute Deviation (MAD)4
Skewness3.09653477
Sum3120
Variance3434.600609
MonotocityNot monotonic
2021-03-18T16:00:11.232678image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
028
26.2%
19
 
8.4%
26
 
5.6%
35
 
4.7%
174
 
3.7%
44
 
3.7%
133
 
2.8%
163
 
2.8%
53
 
2.8%
72
 
1.9%
Other values (33)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
19
 
8.4%
26
 
5.6%
35
 
4.7%
44
 
3.7%
ValueCountFrequency (%)
3551
0.9%
2671
0.9%
1831
0.9%
1781
0.9%
1591
0.9%

CGD ST DIE DES VOSGES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean27.74757282
Minimum0
Maximum405
Zeros30
Zeros (%)28.0%
Memory size984.0 B
2021-03-18T16:00:11.340059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q325
95-th percentile132.7
Maximum405
Range405
Interquartile range (IQR)25

Descriptive statistics

Standard deviation58.29164647
Coefficient of variation (CV)2.10078362
Kurtosis19.51171255
Mean27.74757282
Median Absolute Deviation (MAD)3
Skewness3.915661778
Sum2858
Variance3397.916048
MonotocityNot monotonic
2021-03-18T16:00:11.445985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
030
28.0%
112
 
11.2%
37
 
6.5%
24
 
3.7%
163
 
2.8%
133
 
2.8%
92
 
1.9%
122
 
1.9%
72
 
1.9%
242
 
1.9%
Other values (34)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
030
28.0%
112
 
11.2%
24
 
3.7%
37
 
6.5%
42
 
1.9%
ValueCountFrequency (%)
4051
0.9%
2761
0.9%
1501
0.9%
1421
0.9%
1371
0.9%

CGD AUXERRE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean36.30097087
Minimum0
Maximum546
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T16:00:11.553357image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q332
95-th percentile172.1
Maximum546
Range546
Interquartile range (IQR)32

Descriptive statistics

Standard deviation76.67730126
Coefficient of variation (CV)2.112265854
Kurtosis20.37746526
Mean36.30097087
Median Absolute Deviation (MAD)4
Skewness3.955025648
Sum3739
Variance5879.408528
MonotocityNot monotonic
2021-03-18T16:00:11.650049image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
031
29.0%
18
 
7.5%
38
 
7.5%
23
 
2.8%
173
 
2.8%
193
 
2.8%
43
 
2.8%
252
 
1.9%
382
 
1.9%
52
 
1.9%
Other values (34)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
18
 
7.5%
23
 
2.8%
38
 
7.5%
43
 
2.8%
ValueCountFrequency (%)
5461
0.9%
2971
0.9%
2871
0.9%
1861
0.9%
1791
0.9%

CGD AVALLON
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean19.66019417
Minimum0
Maximum276
Zeros31
Zeros (%)29.0%
Memory size984.0 B
2021-03-18T16:00:11.750922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q321
95-th percentile88.9
Maximum276
Range276
Interquartile range (IQR)21

Descriptive statistics

Standard deviation39.10432337
Coefficient of variation (CV)1.989010028
Kurtosis20.44152396
Mean19.66019417
Median Absolute Deviation (MAD)4
Skewness3.994956784
Sum2025
Variance1529.148106
MonotocityNot monotonic
2021-03-18T16:00:11.848102image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
031
29.0%
110
 
9.3%
27
 
6.5%
84
 
3.7%
44
 
3.7%
422
 
1.9%
112
 
1.9%
262
 
1.9%
132
 
1.9%
212
 
1.9%
Other values (33)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
031
29.0%
110
 
9.3%
27
 
6.5%
31
 
0.9%
44
 
3.7%
ValueCountFrequency (%)
2761
0.9%
1841
0.9%
1211
0.9%
1001
0.9%
981
0.9%

CGD SENS
Real number (ℝ≥0)

MISSING
ZEROS

Distinct49
Distinct (%)47.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean46.82524272
Minimum0
Maximum527
Zeros19
Zeros (%)17.8%
Memory size984.0 B
2021-03-18T16:00:11.952779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q348.5
95-th percentile194.7
Maximum527
Range527
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation88.46184812
Coefficient of variation (CV)1.889191448
Kurtosis10.41721798
Mean46.82524272
Median Absolute Deviation (MAD)7
Skewness2.97667319
Sum4823
Variance7825.498572
MonotocityNot monotonic
2021-03-18T16:00:12.059922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
019
17.8%
113
 
12.1%
26
 
5.6%
65
 
4.7%
43
 
2.8%
143
 
2.8%
93
 
2.8%
642
 
1.9%
52
 
1.9%
102
 
1.9%
Other values (39)45
42.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
019
17.8%
113
12.1%
26
 
5.6%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
5271
0.9%
3691
0.9%
3371
0.9%
2871
0.9%
2801
0.9%

CGD ETAMPES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean33.88349515
Minimum0
Maximum333
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T16:00:12.162819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q327
95-th percentile186.2
Maximum333
Range333
Interquartile range (IQR)26

Descriptive statistics

Standard deviation65.26827007
Coefficient of variation (CV)1.926255535
Kurtosis7.754476344
Mean33.88349515
Median Absolute Deviation (MAD)6
Skewness2.786957231
Sum3490
Variance4259.947078
MonotocityNot monotonic
2021-03-18T16:00:12.260675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
024
22.4%
113
 
12.1%
45
 
4.7%
194
 
3.7%
23
 
2.8%
133
 
2.8%
233
 
2.8%
33
 
2.8%
112
 
1.9%
122
 
1.9%
Other values (35)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
113
12.1%
23
 
2.8%
33
 
2.8%
45
 
4.7%
ValueCountFrequency (%)
3331
0.9%
2941
0.9%
2671
0.9%
2071
0.9%
1991
0.9%

CGD EVRY COURCOURONNES
Real number (ℝ≥0)

MISSING
ZEROS

Distinct52
Distinct (%)50.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean54.21359223
Minimum0
Maximum450
Zeros20
Zeros (%)18.7%
Memory size984.0 B
2021-03-18T16:00:12.367163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median8
Q348.5
95-th percentile317.3
Maximum450
Range450
Interquartile range (IQR)47

Descriptive statistics

Standard deviation100.612794
Coefficient of variation (CV)1.855859202
Kurtosis5.811498301
Mean54.21359223
Median Absolute Deviation (MAD)8
Skewness2.504637011
Sum5584
Variance10122.93432
MonotocityNot monotonic
2021-03-18T16:00:12.468714image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020
18.7%
211
 
10.3%
16
 
5.6%
84
 
3.7%
34
 
3.7%
54
 
3.7%
163
 
2.8%
252
 
1.9%
322
 
1.9%
232
 
1.9%
Other values (42)45
42.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
020
18.7%
16
 
5.6%
211
10.3%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
4501
0.9%
4381
0.9%
4181
0.9%
3291
0.9%
3211
0.9%

CGD PALAISEAU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct50
Distinct (%)48.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean49.98058252
Minimum0
Maximum484
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T16:00:12.573434image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q331
95-th percentile300.9
Maximum484
Range484
Interquartile range (IQR)30

Descriptive statistics

Standard deviation99.05910105
Coefficient of variation (CV)1.981951711
Kurtosis6.961469952
Mean49.98058252
Median Absolute Deviation (MAD)8
Skewness2.685442047
Sum5148
Variance9812.705502
MonotocityNot monotonic
2021-03-18T16:00:12.682880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
024
22.4%
17
 
6.5%
36
 
5.6%
25
 
4.7%
303
 
2.8%
73
 
2.8%
153
 
2.8%
42
 
1.9%
282
 
1.9%
252
 
1.9%
Other values (40)46
43.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
17
 
6.5%
25
 
4.7%
36
 
5.6%
42
 
1.9%
ValueCountFrequency (%)
4841
0.9%
4581
0.9%
3351
0.9%
3311
0.9%
3221
0.9%

CGD L ISLE ADAM
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean45.37864078
Minimum0
Maximum383
Zeros25
Zeros (%)23.4%
Memory size984.0 B
2021-03-18T16:00:12.791033image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q341.5
95-th percentile275
Maximum383
Range383
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation86.52440623
Coefficient of variation (CV)1.906720976
Kurtosis5.988254982
Mean45.37864078
Median Absolute Deviation (MAD)7
Skewness2.572289091
Sum4674
Variance7486.472873
MonotocityNot monotonic
2021-03-18T16:00:12.899474image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
025
23.4%
110
 
9.3%
25
 
4.7%
45
 
4.7%
274
 
3.7%
73
 
2.8%
243
 
2.8%
32
 
1.9%
102
 
1.9%
122
 
1.9%
Other values (38)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
025
23.4%
110
 
9.3%
25
 
4.7%
32
 
1.9%
45
 
4.7%
ValueCountFrequency (%)
3831
0.9%
3801
0.9%
3511
0.9%
2971
0.9%
2781
0.9%

CGD MONTMORENCY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct53
Distinct (%)51.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean51.81553398
Minimum0
Maximum488
Zeros21
Zeros (%)19.6%
Memory size984.0 B
2021-03-18T16:00:13.008167image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q343.5
95-th percentile294.3
Maximum488
Range488
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation99.90640204
Coefficient of variation (CV)1.928116809
Kurtosis6.965975266
Mean51.81553398
Median Absolute Deviation (MAD)10
Skewness2.690909313
Sum5337
Variance9981.289168
MonotocityNot monotonic
2021-03-18T16:00:13.119394image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
021
19.6%
17
 
6.5%
24
 
3.7%
74
 
3.7%
34
 
3.7%
113
 
2.8%
53
 
2.8%
63
 
2.8%
303
 
2.8%
92
 
1.9%
Other values (43)49
45.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
021
19.6%
17
 
6.5%
24
 
3.7%
34
 
3.7%
42
 
1.9%
ValueCountFrequency (%)
4881
0.9%
4451
0.9%
3781
0.9%
3671
0.9%
3351
0.9%

CGD PONTOISE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct43
Distinct (%)41.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean31.52427184
Minimum0
Maximum318
Zeros30
Zeros (%)28.0%
Memory size984.0 B
2021-03-18T16:00:13.221075image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q327
95-th percentile164.3
Maximum318
Range318
Interquartile range (IQR)27

Descriptive statistics

Standard deviation63.59427842
Coefficient of variation (CV)2.017311573
Kurtosis8.720876044
Mean31.52427184
Median Absolute Deviation (MAD)4
Skewness2.946329062
Sum3247
Variance4044.232248
MonotocityNot monotonic
2021-03-18T16:00:13.318230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
030
28.0%
113
 
12.1%
205
 
4.7%
34
 
3.7%
24
 
3.7%
123
 
2.8%
43
 
2.8%
182
 
1.9%
92
 
1.9%
152
 
1.9%
Other values (33)35
32.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
030
28.0%
113
12.1%
24
 
3.7%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
3181
0.9%
2821
0.9%
2751
0.9%
2631
0.9%
1901
0.9%

CGD LE MOULE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct51
Distinct (%)49.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean46.85436893
Minimum0
Maximum615
Zeros19
Zeros (%)17.8%
Memory size984.0 B
2021-03-18T16:00:13.424392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q332
95-th percentile304.8
Maximum615
Range615
Interquartile range (IQR)30

Descriptive statistics

Standard deviation100.9971275
Coefficient of variation (CV)2.155554109
Kurtosis12.38493391
Mean46.85436893
Median Absolute Deviation (MAD)10
Skewness3.359581002
Sum4826
Variance10200.41976
MonotocityNot monotonic
2021-03-18T16:00:13.529198image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
019
17.8%
211
 
10.3%
37
 
6.5%
45
 
4.7%
323
 
2.8%
133
 
2.8%
63
 
2.8%
172
 
1.9%
102
 
1.9%
112
 
1.9%
Other values (41)46
43.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
019
17.8%
12
 
1.9%
211
10.3%
37
 
6.5%
45
 
4.7%
ValueCountFrequency (%)
6151
0.9%
4231
0.9%
3471
0.9%
3331
0.9%
3231
0.9%

CGD POINTE A PITRE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)45.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean44.42718447
Minimum0
Maximum597
Zeros16
Zeros (%)15.0%
Memory size984.0 B
2021-03-18T16:00:13.637295image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q332.5
95-th percentile260.7
Maximum597
Range597
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation91.43631684
Coefficient of variation (CV)2.058116398
Kurtosis14.52633814
Mean44.42718447
Median Absolute Deviation (MAD)9
Skewness3.45984297
Sum4576
Variance8360.600038
MonotocityNot monotonic
2021-03-18T16:00:13.739500image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
016
 
15.0%
211
 
10.3%
18
 
7.5%
56
 
5.6%
35
 
4.7%
43
 
2.8%
223
 
2.8%
123
 
2.8%
193
 
2.8%
113
 
2.8%
Other values (37)42
39.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
016
15.0%
18
7.5%
211
10.3%
35
 
4.7%
43
 
2.8%
ValueCountFrequency (%)
5971
0.9%
3531
0.9%
3051
0.9%
2991
0.9%
2781
0.9%

CGD ST CLAUDE (971)
Real number (ℝ≥0)

MISSING
ZEROS

Distinct39
Distinct (%)37.9%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean28.18446602
Minimum0
Maximum460
Zeros22
Zeros (%)20.6%
Memory size984.0 B
2021-03-18T16:00:13.841796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q325
95-th percentile146.4
Maximum460
Range460
Interquartile range (IQR)24

Descriptive statistics

Standard deviation63.31399306
Coefficient of variation (CV)2.246414497
Kurtosis22.87810002
Mean28.18446602
Median Absolute Deviation (MAD)7
Skewness4.297973404
Sum2903
Variance4008.661717
MonotocityNot monotonic
2021-03-18T16:00:13.937886image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
022
20.6%
110
 
9.3%
27
 
6.5%
35
 
4.7%
94
 
3.7%
54
 
3.7%
83
 
2.8%
253
 
2.8%
353
 
2.8%
133
 
2.8%
Other values (29)39
36.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
022
20.6%
110
9.3%
27
 
6.5%
35
 
4.7%
42
 
1.9%
ValueCountFrequency (%)
4601
0.9%
2451
0.9%
2181
0.9%
2071
0.9%
1681
0.9%

CGD FORT DE FRANCE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct40
Distinct (%)38.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean22.76699029
Minimum0
Maximum356
Zeros25
Zeros (%)23.4%
Memory size984.0 B
2021-03-18T16:00:14.036000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q319.5
95-th percentile114.1
Maximum356
Range356
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation50.29778069
Coefficient of variation (CV)2.20924154
Kurtosis20.68190717
Mean22.76699029
Median Absolute Deviation (MAD)4
Skewness4.089085141
Sum2345
Variance2529.866743
MonotocityNot monotonic
2021-03-18T16:00:14.134452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
025
23.4%
115
14.0%
27
 
6.5%
114
 
3.7%
124
 
3.7%
43
 
2.8%
143
 
2.8%
32
 
1.9%
292
 
1.9%
62
 
1.9%
Other values (30)36
33.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
025
23.4%
115
14.0%
27
 
6.5%
32
 
1.9%
43
 
2.8%
ValueCountFrequency (%)
3561
0.9%
2041
0.9%
1801
0.9%
1511
0.9%
1311
0.9%

CGD LA TRINITE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct42
Distinct (%)40.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean24.4368932
Minimum0
Maximum335
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T16:00:14.239408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q318.5
95-th percentile107.9
Maximum335
Range335
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation56.07202474
Coefficient of variation (CV)2.294564382
Kurtosis15.22016176
Mean24.4368932
Median Absolute Deviation (MAD)5
Skewness3.790687437
Sum2517
Variance3144.071959
MonotocityNot monotonic
2021-03-18T16:00:14.336612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
027
25.2%
19
 
8.4%
45
 
4.7%
35
 
4.7%
25
 
4.7%
53
 
2.8%
233
 
2.8%
113
 
2.8%
133
 
2.8%
322
 
1.9%
Other values (32)38
35.5%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
19
 
8.4%
25
 
4.7%
35
 
4.7%
45
 
4.7%
ValueCountFrequency (%)
3351
0.9%
2611
0.9%
2511
0.9%
2381
0.9%
1131
0.9%

CGD LE MARIN
Real number (ℝ≥0)

MISSING
ZEROS

Distinct52
Distinct (%)50.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean41.13592233
Minimum0
Maximum665
Zeros20
Zeros (%)18.7%
Memory size984.0 B
2021-03-18T16:00:14.443864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q331
95-th percentile204.6
Maximum665
Range665
Interquartile range (IQR)30

Descriptive statistics

Standard deviation90.21521637
Coefficient of variation (CV)2.19310061
Kurtosis23.6315662
Mean41.13592233
Median Absolute Deviation (MAD)9
Skewness4.303847793
Sum4237
Variance8138.785266
MonotocityNot monotonic
2021-03-18T16:00:14.551541image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020
18.7%
110
 
9.3%
29
 
8.4%
64
 
3.7%
263
 
2.8%
222
 
1.9%
72
 
1.9%
172
 
1.9%
312
 
1.9%
42
 
1.9%
Other values (42)47
43.9%
(Missing)4
 
3.7%
ValueCountFrequency (%)
020
18.7%
110
9.3%
29
8.4%
31
 
0.9%
42
 
1.9%
ValueCountFrequency (%)
6651
0.9%
3491
0.9%
2731
0.9%
2701
0.9%
2601
0.9%

CGD KOUROU
Real number (ℝ≥0)

MISSING
ZEROS

Distinct47
Distinct (%)45.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean30.39805825
Minimum0
Maximum487
Zeros23
Zeros (%)21.5%
Memory size984.0 B
2021-03-18T16:00:14.657806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q328
95-th percentile116.7
Maximum487
Range487
Interquartile range (IQR)27

Descriptive statistics

Standard deviation68.96210096
Coefficient of variation (CV)2.268635068
Kurtosis27.29674818
Mean30.39805825
Median Absolute Deviation (MAD)10
Skewness4.851130704
Sum3131
Variance4755.771369
MonotocityNot monotonic
2021-03-18T16:00:14.766736image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
023
21.5%
19
 
8.4%
26
 
5.6%
64
 
3.7%
214
 
3.7%
33
 
2.8%
72
 
1.9%
202
 
1.9%
192
 
1.9%
352
 
1.9%
Other values (37)46
43.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
023
21.5%
19
 
8.4%
26
 
5.6%
33
 
2.8%
42
 
1.9%
ValueCountFrequency (%)
4871
0.9%
4131
0.9%
1941
0.9%
1411
0.9%
1361
0.9%

CGD MATOURY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct53
Distinct (%)51.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean37.73786408
Minimum0
Maximum589
Zeros15
Zeros (%)14.0%
Memory size984.0 B
2021-03-18T16:00:14.871897image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median9
Q337.5
95-th percentile177.3
Maximum589
Range589
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation76.40000015
Coefficient of variation (CV)2.0244919
Kurtosis27.1610237
Mean37.73786408
Median Absolute Deviation (MAD)9
Skewness4.513047284
Sum3887
Variance5836.960023
MonotocityNot monotonic
2021-03-18T16:00:14.974759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015
 
14.0%
18
 
7.5%
35
 
4.7%
25
 
4.7%
44
 
3.7%
54
 
3.7%
63
 
2.8%
73
 
2.8%
83
 
2.8%
232
 
1.9%
Other values (43)51
47.7%
(Missing)4
 
3.7%
ValueCountFrequency (%)
015
14.0%
18
7.5%
25
 
4.7%
35
 
4.7%
44
 
3.7%
ValueCountFrequency (%)
5891
0.9%
2701
0.9%
2461
0.9%
1911
0.9%
1811
0.9%

CGD ST LAURENT DU MARONI
Real number (ℝ≥0)

MISSING
ZEROS

Distinct48
Distinct (%)46.6%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean33.61165049
Minimum0
Maximum571
Zeros22
Zeros (%)20.6%
Memory size984.0 B
2021-03-18T16:00:15.079254image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median7
Q328
95-th percentile149.5
Maximum571
Range571
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation74.38706837
Coefficient of variation (CV)2.213133461
Kurtosis27.73658911
Mean33.61165049
Median Absolute Deviation (MAD)7
Skewness4.645500519
Sum3462
Variance5533.435941
MonotocityNot monotonic
2021-03-18T16:00:15.178967image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
022
20.6%
67
 
6.5%
36
 
5.6%
24
 
3.7%
14
 
3.7%
73
 
2.8%
133
 
2.8%
53
 
2.8%
43
 
2.8%
192
 
1.9%
Other values (38)46
43.0%
(Missing)4
 
3.7%
ValueCountFrequency (%)
022
20.6%
14
 
3.7%
24
 
3.7%
36
 
5.6%
43
 
2.8%
ValueCountFrequency (%)
5711
0.9%
2711
0.9%
2431
0.9%
2221
0.9%
1701
0.9%

CGD ST BENOIT
Real number (ℝ≥0)

MISSING
ZEROS

Distinct44
Distinct (%)42.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean36.85436893
Minimum0
Maximum746
Zeros28
Zeros (%)26.2%
Memory size984.0 B
2021-03-18T16:00:15.284020image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q336
95-th percentile163.6
Maximum746
Range746
Interquartile range (IQR)36

Descriptive statistics

Standard deviation89.1573194
Coefficient of variation (CV)2.419179109
Kurtosis40.20333311
Mean36.85436893
Median Absolute Deviation (MAD)6
Skewness5.62503608
Sum3796
Variance7949.027603
MonotocityNot monotonic
2021-03-18T16:00:15.384302image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
028
26.2%
17
 
6.5%
26
 
5.6%
35
 
4.7%
84
 
3.7%
284
 
3.7%
73
 
2.8%
53
 
2.8%
362
 
1.9%
182
 
1.9%
Other values (34)39
36.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
028
26.2%
17
 
6.5%
26
 
5.6%
35
 
4.7%
41
 
0.9%
ValueCountFrequency (%)
7461
0.9%
3261
0.9%
2131
0.9%
2101
0.9%
1931
0.9%

CGD ST PAUL
Real number (ℝ≥0)

MISSING
ZEROS

Distinct50
Distinct (%)48.5%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean51.97087379
Minimum0
Maximum842
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T16:00:15.494704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q341
95-th percentile290.9
Maximum842
Range842
Interquartile range (IQR)41

Descriptive statistics

Standard deviation117.5114893
Coefficient of variation (CV)2.261102821
Kurtosis21.45819811
Mean51.97087379
Median Absolute Deviation (MAD)8
Skewness4.144131333
Sum5353
Variance13808.95012
MonotocityNot monotonic
2021-03-18T16:00:15.602679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027
25.2%
17
 
6.5%
26
 
5.6%
54
 
3.7%
83
 
2.8%
103
 
2.8%
322
 
1.9%
392
 
1.9%
332
 
1.9%
512
 
1.9%
Other values (40)45
42.1%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
17
 
6.5%
26
 
5.6%
32
 
1.9%
41
 
0.9%
ValueCountFrequency (%)
8421
0.9%
4281
0.9%
4001
0.9%
3731
0.9%
3641
0.9%

CGD ST PIERRE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct59
Distinct (%)57.3%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean57.41747573
Minimum0
Maximum1045
Zeros24
Zeros (%)22.4%
Memory size984.0 B
2021-03-18T16:00:15.711622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q353.5
95-th percentile269.3
Maximum1045
Range1045
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation135.0188458
Coefficient of variation (CV)2.351528765
Kurtosis29.91173513
Mean57.41747573
Median Absolute Deviation (MAD)10
Skewness4.889717748
Sum5914
Variance18230.08871
MonotocityNot monotonic
2021-03-18T16:00:15.820956image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
024
22.4%
18
 
7.5%
24
 
3.7%
43
 
2.8%
73
 
2.8%
63
 
2.8%
33
 
2.8%
102
 
1.9%
52
 
1.9%
172
 
1.9%
Other values (49)49
45.8%
(Missing)4
 
3.7%
ValueCountFrequency (%)
024
22.4%
18
 
7.5%
24
 
3.7%
33
 
2.8%
43
 
2.8%
ValueCountFrequency (%)
10451
0.9%
5711
0.9%
4061
0.9%
3541
0.9%
3481
0.9%

CGD ST MARTIN ST BARTHELEMY
Real number (ℝ≥0)

MISSING
ZEROS

Distinct41
Distinct (%)39.8%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean27.91262136
Minimum0
Maximum377
Zeros20
Zeros (%)18.7%
Memory size984.0 B
2021-03-18T16:00:15.923628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q322
95-th percentile125
Maximum377
Range377
Interquartile range (IQR)21

Descriptive statistics

Standard deviation61.02267447
Coefficient of variation (CV)2.186203642
Kurtosis18.77861773
Mean27.91262136
Median Absolute Deviation (MAD)6
Skewness3.997320188
Sum2875
Variance3723.7668
MonotocityNot monotonic
2021-03-18T16:00:16.050766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
020
18.7%
113
 
12.1%
26
 
5.6%
34
 
3.7%
74
 
3.7%
54
 
3.7%
114
 
3.7%
44
 
3.7%
94
 
3.7%
123
 
2.8%
Other values (31)37
34.6%
(Missing)4
 
3.7%
ValueCountFrequency (%)
020
18.7%
113
12.1%
26
 
5.6%
34
 
3.7%
44
 
3.7%
ValueCountFrequency (%)
3771
0.9%
3651
0.9%
1881
0.9%
1621
0.9%
1311
0.9%

CGD LES ARCHIPELS PAPEETE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct35
Distinct (%)34.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean20.83495146
Minimum0
Maximum410
Zeros38
Zeros (%)35.5%
Memory size984.0 B
2021-03-18T16:00:16.186423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314.5
95-th percentile79.7
Maximum410
Range410
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation61.1613259
Coefficient of variation (CV)2.935515642
Kurtosis30.50739559
Mean20.83495146
Median Absolute Deviation (MAD)2
Skewness5.307871872
Sum2146
Variance3740.707786
MonotocityNot monotonic
2021-03-18T16:00:16.283335image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
038
35.5%
28
 
7.5%
17
 
6.5%
155
 
4.7%
34
 
3.7%
84
 
3.7%
93
 
2.8%
73
 
2.8%
43
 
2.8%
142
 
1.9%
Other values (25)26
24.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
038
35.5%
17
 
6.5%
28
 
7.5%
34
 
3.7%
43
 
2.8%
ValueCountFrequency (%)
4101
0.9%
4011
0.9%
2111
0.9%
891
0.9%
841
0.9%

CGD LES ILES DU VENT FAAA
Real number (ℝ≥0)

MISSING
ZEROS

Distinct46
Distinct (%)44.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean53.73786408
Minimum0
Maximum1108
Zeros30
Zeros (%)28.0%
Memory size984.0 B
2021-03-18T16:00:16.386206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q333
95-th percentile281
Maximum1108
Range1108
Interquartile range (IQR)33

Descriptive statistics

Standard deviation139.7353213
Coefficient of variation (CV)2.600314019
Kurtosis33.1519437
Mean53.73786408
Median Absolute Deviation (MAD)5
Skewness5.134367381
Sum5535
Variance19525.96002
MonotocityNot monotonic
2021-03-18T16:00:16.489164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
030
28.0%
18
 
7.5%
26
 
5.6%
43
 
2.8%
213
 
2.8%
73
 
2.8%
33
 
2.8%
333
 
2.8%
162
 
1.9%
262
 
1.9%
Other values (36)40
37.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
030
28.0%
18
 
7.5%
26
 
5.6%
33
 
2.8%
43
 
2.8%
ValueCountFrequency (%)
11081
0.9%
5041
0.9%
4991
0.9%
3081
0.9%
2911
0.9%

CGD KONE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct31
Distinct (%)30.1%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean13.03883495
Minimum0
Maximum263
Zeros46
Zeros (%)43.0%
Memory size984.0 B
2021-03-18T16:00:16.584856image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q312.5
95-th percentile61.7
Maximum263
Range263
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation31.85011538
Coefficient of variation (CV)2.442711753
Kurtosis37.84232373
Mean13.03883495
Median Absolute Deviation (MAD)1
Skewness5.409374625
Sum1343
Variance1014.42985
MonotocityNot monotonic
2021-03-18T16:00:16.683232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
046
43.0%
110
 
9.3%
25
 
4.7%
44
 
3.7%
154
 
3.7%
302
 
1.9%
92
 
1.9%
82
 
1.9%
412
 
1.9%
372
 
1.9%
Other values (21)24
22.4%
(Missing)4
 
3.7%
ValueCountFrequency (%)
046
43.0%
110
 
9.3%
25
 
4.7%
44
 
3.7%
51
 
0.9%
ValueCountFrequency (%)
2631
0.9%
1001
0.9%
911
0.9%
841
0.9%
771
0.9%

CGD LA FOA
Real number (ℝ≥0)

MISSING
ZEROS

Distinct36
Distinct (%)35.0%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean16.48543689
Minimum0
Maximum292
Zeros44
Zeros (%)41.1%
Memory size984.0 B
2021-03-18T16:00:18.932860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q315.5
95-th percentile59.5
Maximum292
Range292
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation39.37448763
Coefficient of variation (CV)2.388440651
Kurtosis26.4023366
Mean16.48543689
Median Absolute Deviation (MAD)1
Skewness4.646444662
Sum1698
Variance1550.350276
MonotocityNot monotonic
2021-03-18T16:00:19.035589image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
044
41.1%
19
 
8.4%
25
 
4.7%
83
 
2.8%
113
 
2.8%
33
 
2.8%
132
 
1.9%
522
 
1.9%
392
 
1.9%
72
 
1.9%
Other values (26)28
26.2%
(Missing)4
 
3.7%
ValueCountFrequency (%)
044
41.1%
19
 
8.4%
25
 
4.7%
33
 
2.8%
41
 
0.9%
ValueCountFrequency (%)
2921
0.9%
1781
0.9%
1441
0.9%
1091
0.9%
851
0.9%

CGD NOUMEA
Real number (ℝ≥0)

MISSING
ZEROS

Distinct45
Distinct (%)43.7%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean49.85436893
Minimum0
Maximum1048
Zeros27
Zeros (%)25.2%
Memory size984.0 B
2021-03-18T16:00:19.137179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q340
95-th percentile210.9
Maximum1048
Range1048
Interquartile range (IQR)40

Descriptive statistics

Standard deviation126.9766389
Coefficient of variation (CV)2.546951082
Kurtosis38.53086924
Mean49.85436893
Median Absolute Deviation (MAD)6
Skewness5.528073799
Sum5135
Variance16123.06682
MonotocityNot monotonic
2021-03-18T16:00:19.240842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
027
25.2%
18
 
7.5%
25
 
4.7%
45
 
4.7%
65
 
4.7%
143
 
2.8%
213
 
2.8%
32
 
1.9%
1252
 
1.9%
232
 
1.9%
Other values (35)41
38.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
027
25.2%
18
 
7.5%
25
 
4.7%
32
 
1.9%
45
 
4.7%
ValueCountFrequency (%)
10481
0.9%
4481
0.9%
3811
0.9%
3461
0.9%
2181
0.9%

CGD POINDIMIE
Real number (ℝ≥0)

MISSING
ZEROS

Distinct21
Distinct (%)20.4%
Missing4
Missing (%)3.7%
Infinite0
Infinite (%)0.0%
Mean7.427184466
Minimum0
Maximum181
Zeros49
Zeros (%)45.8%
Memory size984.0 B
2021-03-18T16:00:19.344633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34.5
95-th percentile35.5
Maximum181
Range181
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation21.19406222
Coefficient of variation (CV)2.853579619
Kurtosis45.20560517
Mean7.427184466
Median Absolute Deviation (MAD)1
Skewness6.055674501
Sum765
Variance449.1882734
MonotocityNot monotonic
2021-03-18T16:00:19.439220image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
049
45.8%
111
 
10.3%
210
 
9.3%
55
 
4.7%
45
 
4.7%
163
 
2.8%
173
 
2.8%
92
 
1.9%
32
 
1.9%
152
 
1.9%
Other values (11)11
 
10.3%
(Missing)4
 
3.7%
ValueCountFrequency (%)
049
45.8%
111
 
10.3%
210
 
9.3%
32
 
1.9%
45
 
4.7%
ValueCountFrequency (%)
1811
0.9%
671
0.9%
661
0.9%
471
0.9%
421
0.9%